40:null 41:["$","title",null,{"children":"Analyze Women's Exposure To Climate Hazards | 360ground | Observable"}] 47:Tbad,plotHeatmapParticipation = { const data = task_gender_data; const margin = { top: 30, right: 0, bottom: 5, left: 90 }; const width = 475 const height = 250 const tooltip = d3 .select("body") .append("div") .attr("class", "plotTooltip") .style("position", "absolute"); const svg = d3 .create('svg') .attr("viewBox", [ 0, 0, width + margin.left + margin.right, height + margin.top + margin.bottom ]) // .attr("width", "%") .attr("height", "100%"); const xScale = d3 .scaleBand() .domain(data.map((d) => d.country)) .range([margin.left, width - margin.right]) .padding(0.05); const yScale = d3 .scaleBand() .domain(["Land Prep.", "Planting/Weeding", "Harvesting"]) .range([margin.top, height - margin.bottom]) .padding(0.05); // const colorScale = d3.scaleSequential(d3.interpolateBlues).domain([0, 100]); const colorScale = d3 .scaleLinear() .domain([21, 61]) .range(["#F7D732", "#216729"]); svg .selectAll("rect") .data( data.flatMap((d) => ["Land Prep.", "Planting/Weeding", "Harvesting"].map((type) => ({ country: d.country, type, value: d[type] })) ) ) .join("rect") .attr("x", (d) => xScale(d.country)) .attr("y", (d) => yScale(d.type)) .attr("width", xScale.bandwidth()) .attr("height", yScale.bandwidth()) .attr("fill", (d) => (d.value !== null ? colorScale(d.value) : "white")) // Set fill to white for null values .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html( `${_lang(nbText.General.adminNames[d.country])}
${_lang(nbText.GenderedAfriAG.FemaleParticipationLabor.plot.practices[d.type])}: ${ d.value !== null ? d.value + "%" : _lang(nbText.General.noDataAvailable) }` ); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); svg .append("g") .attr("transform", `translate(0, ${height - margin.bottom})`) .attr("stroke-width", ".5px") .call(d3.axisBottom(xScale).tickFormat((d) => _lang(nbText.General.adminNames[d]))) .selectAll("text") .style("font-size", "8px"); const yAxis = svg .append("g") .attr("transform", `translate(${margin.left}, 0)`) .attr("stroke-width", ".5px") .call(d3.axisLeft(yScale).tickFormat((d) => (_lang(nbText.GenderedAfriAG.FemaleParticipationLabor.plot.practices[d])))) .selectAll("text") .style("font-size", "8px"); // const legend = svg.node().appendChild(heatmap_legend.cloneNode(true)); // // const legend = svg.append(heatmap_legend); // legend.attr("transform", `translate(${100}, ${-15}) scale(.75)`); svg .append("g") .attr("transform", `translate(85,-10) scale(0.70)`) .append(heatmap_legend); return svg.node(); }48:T275b,viewof exportHeatmapParticipation = { const t = nbText.export.heatmapParticipation; // ============================================================================ // ADJUSTABLE SETTINGS - Modify these values to control export dimensions // ============================================================================ const EXPORT_SETTINGS = { widthMultiplier: 1.0, heightMultiplier: 1.0, minWidth: 600, minHeight: 300, padding: 10 }; // ============================================================================ const findHeatmapSvg = () => { try { const plotOutput = plotHeatmapParticipation; if (plotOutput) { if (plotOutput.tagName === 'svg') { return plotOutput; } if (plotOutput.querySelector) { const svg = plotOutput.querySelector('svg'); if (svg) return svg; } } } catch (e) { } const cells = Array.from(document.querySelectorAll('.observablehq--cell')); let currentCellIndex = -1; for (let i = 0; i < cells.length; i++) { const selectInCell = cells[i].querySelector?.('select'); if (selectInCell && selectInCell === select) { currentCellIndex = i; break; } } if (currentCellIndex > 0) { const prevCell = cells[currentCellIndex - 1]; if (prevCell) { const svgs = prevCell.querySelectorAll('svg'); if (svgs.length > 0) { // Return the largest SVG (main heatmap) let largest = null; let largestArea = 0; svgs.forEach(svg => { const rect = svg.getBoundingClientRect(); const area = rect.width * rect.height; if (area > largestArea) { largestArea = area; largest = svg; } }); if (largest) return largest; } } } const allSvgs = Array.from(document.querySelectorAll('svg')); for (const svg of allSvgs) { const viewBox = svg.getAttribute('viewBox'); if (viewBox) { const parts = viewBox.split(/\s+|,/).filter(p => p).map(parseFloat); // Check if viewBox matches heatmap dimensions (around 565x285 based on code) if (parts.length === 4) { const w = parts[2]; const h = parts[3]; // Heatmap is approximately 565px wide (475 + 90 margin) and 285px tall (250 + 35 margin) if (w >= 500 && w <= 600 && h >= 250 && h <= 300) { // Check if it has rects (heatmap cells) const rects = svg.querySelectorAll('rect'); if (rects.length > 5) { return svg; } } } } } return null; }; const buildSvg = () => { const svgElement = findHeatmapSvg(); if (!svgElement) { throw new Error(_lang(t.heatmapNotFound)); } // Deep clone the SVG const svg = svgElement.cloneNode(true); // Get dimensions from viewBox let width, height; const viewBox = svgElement.getAttribute('viewBox'); if (viewBox) { const parts = viewBox.split(/\s+|,/).filter(p => p).map(parseFloat); if (parts.length === 4) { width = parts[2]; height = parts[3]; } } // Fallback to bounding box if (!width || !height) { const rect = svgElement.getBoundingClientRect(); width = rect.width || EXPORT_SETTINGS.minWidth; height = rect.height || EXPORT_SETTINGS.minHeight; } // Apply multipliers width = Math.ceil(width * EXPORT_SETTINGS.widthMultiplier); height = Math.ceil(height * EXPORT_SETTINGS.heightMultiplier); width = Math.max(width, EXPORT_SETTINGS.minWidth); height = Math.max(height, EXPORT_SETTINGS.minHeight); // Set explicit dimensions svg.setAttribute('width', width); svg.setAttribute('height', height); // Ensure viewBox is set if (!svg.getAttribute('viewBox')) { svg.setAttribute('viewBox', `0 0 ${width} ${height}`); } // Add white background as first element const bg = document.createElementNS('http://www.w3.org/2000/svg', 'rect'); bg.setAttribute('x', '0'); bg.setAttribute('y', '0'); bg.setAttribute('width', width); bg.setAttribute('height', height); bg.setAttribute('fill', 'white'); svg.insertBefore(bg, svg.firstChild); return { svg, width, height }; }; const toSvgBlob = () => { const { svg } = buildSvg(); const s = new XMLSerializer(); const svgString = s.serializeToString(svg); return new Blob(['\n' + svgString], { type: 'image/svg+xml' }); }; const toRaster = (format = 'png') => { return new Promise((resolve, reject) => { try { const { svg, width, height } = buildSvg(); const s = new XMLSerializer(); let svgString = s.serializeToString(svg); if (!svgString.includes('\n' + svgString; } const svgBlob = new Blob([svgString], { type: 'image/svg+xml;charset=utf-8' }); const url = URL.createObjectURL(svgBlob); const img = new Image(); const canvas = document.createElement('canvas'); const scale = 2; canvas.width = width * scale; canvas.height = height * scale; const ctx = canvas.getContext('2d'); ctx.scale(scale, scale); ctx.fillStyle = 'white'; ctx.fillRect(0, 0, width, height); img.onload = () => { try { ctx.drawImage(img, 0, 0, width, height); URL.revokeObjectURL(url); canvas.toBlob((blob) => { if (blob) { resolve(blob); } else { reject(new Error('Failed to create blob from canvas')); } }, `image/${format}`, 0.95); } catch (drawError) { URL.revokeObjectURL(url); reject(new Error(`Failed to draw image: ${drawError.message}`)); } }; img.onerror = () => { URL.revokeObjectURL(url); reject(new Error('Failed to load SVG. Try SVG export instead.')); }; img.src = url; } catch (error) { reject(error); } }); }; // CSV export const toCsv = () => { const data = task_gender_data; if (!data || data.length === 0) { throw new Error(_lang(t.noDataAvailable)); } const headers = Object.keys(data[0]); const csvRows = [ headers.join(','), ...data.map(row => headers.map(header => { const value = row[header]; return typeof value === 'string' && value.includes(',') ? `"${value.replace(/"/g, '""')}"` : value; }).join(',') ) ]; return new Blob([csvRows.join('\n')], { type: 'text/csv' }); }; // JSON export const toJson = () => { const data = task_gender_data; if (!data) { throw new Error(_lang(t.noDataAvailableJson)); } return new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' }); }; // Download helper const downloadBlob = (blob, filename) => { if (!blob || blob.size === 0) { throw new Error(`Blob is empty for ${filename}`); } const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = filename; a.style.display = 'none'; document.body.appendChild(a); a.click(); document.body.removeChild(a); setTimeout(() => URL.revokeObjectURL(url), 100); }; const select = html``; select.onchange = async (event) => { const format = event.target.value; if (!format) return; try { const ts = new Date().toISOString().replace(/[:.]/g, '-').split('T')[0]; let filename, blob; if (format === 'svg') { filename = `heatmap-participation-${ts}.svg`; blob = toSvgBlob(); downloadBlob(blob, filename); } else if (format === 'png' || format === 'jpeg') { filename = `heatmap-participation-${ts}.${format === 'jpeg' ? 'jpg' : 'png'}`; blob = await toRaster(format); downloadBlob(blob, filename); } else if (format === 'csv') { filename = `heatmap-participation-data-${ts}.csv`; blob = toCsv(); downloadBlob(blob, filename); } else if (format === 'json') { filename = `heatmap-participation-data-${ts}.json`; blob = toJson(); downloadBlob(blob, filename); } } catch (err) { console.error('Export failed:', err); const errorMsg = `${_lang(t.exportFailed)} ${err.message || err}`; console.error(errorMsg); const notification = html`

${errorMsg}

`; document.body.appendChild(notification); setTimeout(() => notification.remove(), 5000); } finally { event.target.value = ''; } }; return html`

${_lang(t.title)}

${select}

`; } 49:T70d,genderCropHeadline = { const container = html`

`; let text; // let fill_items = [{ name: "field", value: "hello world!" }]; let fill_items if (hover_data === null) { text = md`Across these 6 countries, Women are most involved with the production of **Roots & Tubers** at **42%**. This is worth an estimated **Int${formatDollar(root_tube_total)}**.`; text = md`${_lang(nbText.GenderedAfriAG.WomenDominate.headline.default)}` } else if (hover_data.value !== null) { const involvementLevel = hover_data.value > crop_gender_means["country_mean"][hover_data.country] ? "more" : "less"; const productionValue = formatDollar(selection_total * (hover_data.value / 100)); fill_items = [{ name: "country", value: _lang(nbText.General.article_adminNames[hover_data.country]) }, { name: "involvement", value: _lang(nbText.General[involvementLevel]) }, { name: "cropType", value: _lang(nbText.GenderedAfriAG.FemaleParticipationCrops.plot.crops[hover_data.type]) }, { name: "cropPCT", value: hover_data.value }, { name: "cropValue", value: productionValue }]; let template = _lang(nbText.GenderedAfriAG.WomenDominate.headline.valid_hover) text = md`${Lang.reduceReplaceTemplateItems(template, fill_items)}` } else { let template = _lang(nbText.GenderedAfriAG.WomenDominate.headline.null_hover) fill_items = [{ name: "country", value: _lang(nbText.General.article_adminNames[hover_data.country]) }, { name: "cropType", value: _lang(nbText.GenderedAfriAG.FemaleParticipationCrops.plot.crops[hover_data.type])}] text = md`${Lang.reduceReplaceTemplateItems(template, fill_items)}` } container.append(text); return container; };4a:Tcd3,plotHeatmapProduction = { const data = crop_gender_data; const margin = { top: 40, right: 0, bottom: 5, left: 100 }; const width = 475 const height = 320 const tooltip = d3 .select("body") .append("div") .attr("class", "plotTooltip") .style("position", "absolute"); const svg = d3 .create("svg") .attr("viewBox", [ 0, 0, width + margin.left + margin.right, height + margin.top + margin.bottom ]) // .attr("width", "85%") .attr("height", "90%"); const xScale = d3 .scaleBand() .domain(data.map((d) => d.country)) .range([margin.left, width - margin.right]) .padding(0.05); const yScale = d3 .scaleBand() .domain([ "Cereals", "Legumes", "Roots & Tubers", "Fruits & Vegetables", "Non-edible crops" ]) .range([margin.top, height - margin.bottom]) .padding(0.05); // const colorScale = d3.scaleSequential(d3.interpolateBlues).domain([0, 100]); const colorScale = d3 .scaleLinear() .domain([21, 61]) .range(["#F7D732", "#216729"]); svg .selectAll("rect") .data( data.flatMap((d) => [ "Cereals", "Legumes", "Roots & Tubers", "Fruits & Vegetables", "Non-edible crops" ].map((type) => ({ country: d.country, type, value: d[type] })) ) ) .join("rect") .attr("x", (d) => xScale(d.country)) .attr("y", (d) => yScale(d.type)) .attr("width", xScale.bandwidth()) .attr("height", yScale.bandwidth()) .attr("fill", (d) => (d.value !== null ? colorScale(d.value) : "white")) .on("mouseover", function (event, d) { mutable hover_data = d; // tooltip // .style("top", event.pageY - 2 + "px") // .style("left", event.pageX + 2 + "px") // .style("opacity", 1) // .text(`${d.country} - ${d.type}: ${ // d.value !== null ? d.value + "%" : "No data available" // }`); }) .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html( `${_lang(nbText.General.adminNames[d.country])}
${_lang(nbText.GenderedAfriAG.FemaleParticipationCrops.plot.crops[d.type])}: ${ d.value !== null ? d.value + "%" : _lang(nbText.General.noDataAvailable) }` ); }) .on("mouseout", function (event, d) { mutable hover_data = null; tooltip.style("opacity", 0); }); svg .append("g") .attr("transform", `translate(0, ${height - margin.bottom})`) .attr("stroke-width", ".5px") .call(d3.axisBottom(xScale).tickFormat((d) => _lang(nbText.General.adminNames[d]))) .selectAll("text") .style("font-size", "8px"); svg .append("g") .attr("transform", `translate(${margin.left}, 0)`) .attr("stroke-width", ".5px") .call(d3.axisLeft(yScale).tickFormat((d) => _lang(nbText.GenderedAfriAG.FemaleParticipationCrops.plot.crops[d]))) .selectAll("text") .style("font-size", "8px"); svg .append("g") .attr("transform", `translate(100,-10) scale(0.75)`) .append(heatmap_legend); return svg.node(); }4b:T2751,viewof exportHeatmapProduction = { const t = nbText.export.heatmapProduction; // ============================================================================ // ADJUSTABLE SETTINGS - Modify these values to control export dimensions // ============================================================================ const EXPORT_SETTINGS = { widthMultiplier: 1.0, heightMultiplier: 1.0, minWidth: 600, minHeight: 400, padding: 10 }; // ============================================================================ const findHeatmapSvg = () => { try { const plotOutput = plotHeatmapProduction; if (plotOutput) { if (plotOutput.tagName === 'svg') { return plotOutput; } if (plotOutput.querySelector) { const svg = plotOutput.querySelector('svg'); if (svg) return svg; } } } catch (e) { } const cells = Array.from(document.querySelectorAll('.observablehq--cell')); let currentCellIndex = -1; for (let i = 0; i < cells.length; i++) { const selectInCell = cells[i].querySelector?.('select'); if (selectInCell && selectInCell === select) { currentCellIndex = i; break; } } if (currentCellIndex > 0) { const prevCell = cells[currentCellIndex - 1]; if (prevCell) { const svgs = prevCell.querySelectorAll('svg'); if (svgs.length > 0) { // Return the largest SVG (main heatmap) let largest = null; let largestArea = 0; svgs.forEach(svg => { const rect = svg.getBoundingClientRect(); const area = rect.width * rect.height; if (area > largestArea) { largestArea = area; largest = svg; } }); if (largest) return largest; } } } const allSvgs = Array.from(document.querySelectorAll('svg')); for (const svg of allSvgs) { const viewBox = svg.getAttribute('viewBox'); if (viewBox) { const parts = viewBox.split(/\s+|,/).filter(p => p).map(parseFloat); // Check if viewBox matches production heatmap dimensions if (parts.length === 4) { const w = parts[2]; const h = parts[3]; // Production heatmap is approximately 575px wide and 365px tall if (w >= 550 && w <= 600 && h >= 350 && h <= 400) { // Check if it has rects (heatmap cells) and more y-axis categories (5 crop types) const rects = svg.querySelectorAll('rect'); if (rects.length > 10) { return svg; } } } } } return null; }; const buildSvg = () => { const svgElement = findHeatmapSvg(); if (!svgElement) { throw new Error(_lang(t.heatmapNotFound)); } // Deep clone the SVG const svg = svgElement.cloneNode(true); // Get dimensions from viewBox let width, height; const viewBox = svgElement.getAttribute('viewBox'); if (viewBox) { const parts = viewBox.split(/\s+|,/).filter(p => p).map(parseFloat); if (parts.length === 4) { width = parts[2]; height = parts[3]; } } // Fallback to bounding box if (!width || !height) { const rect = svgElement.getBoundingClientRect(); width = rect.width || EXPORT_SETTINGS.minWidth; height = rect.height || EXPORT_SETTINGS.minHeight; } // Apply multipliers width = Math.ceil(width * EXPORT_SETTINGS.widthMultiplier); height = Math.ceil(height * EXPORT_SETTINGS.heightMultiplier); width = Math.max(width, EXPORT_SETTINGS.minWidth); height = Math.max(height, EXPORT_SETTINGS.minHeight); // Set explicit dimensions svg.setAttribute('width', width); svg.setAttribute('height', height); // Ensure viewBox is set if (!svg.getAttribute('viewBox')) { svg.setAttribute('viewBox', `0 0 ${width} ${height}`); } // Add white background as first element const bg = document.createElementNS('http://www.w3.org/2000/svg', 'rect'); bg.setAttribute('x', '0'); bg.setAttribute('y', '0'); bg.setAttribute('width', width); bg.setAttribute('height', height); bg.setAttribute('fill', 'white'); svg.insertBefore(bg, svg.firstChild); return { svg, width, height }; }; const toSvgBlob = () => { const { svg } = buildSvg(); const s = new XMLSerializer(); const svgString = s.serializeToString(svg); return new Blob(['\n' + svgString], { type: 'image/svg+xml' }); }; const toRaster = (format = 'png') => { return new Promise((resolve, reject) => { try { const { svg, width, height } = buildSvg(); const s = new XMLSerializer(); let svgString = s.serializeToString(svg); if (!svgString.includes('\n' + svgString; } const svgBlob = new Blob([svgString], { type: 'image/svg+xml;charset=utf-8' }); const url = URL.createObjectURL(svgBlob); const img = new Image(); const canvas = document.createElement('canvas'); const scale = 2; canvas.width = width * scale; canvas.height = height * scale; const ctx = canvas.getContext('2d'); ctx.scale(scale, scale); ctx.fillStyle = 'white'; ctx.fillRect(0, 0, width, height); img.onload = () => { try { ctx.drawImage(img, 0, 0, width, height); URL.revokeObjectURL(url); canvas.toBlob((blob) => { if (blob) { resolve(blob); } else { reject(new Error('Failed to create blob from canvas')); } }, `image/${format}`, 0.95); } catch (drawError) { URL.revokeObjectURL(url); reject(new Error(`Failed to draw image: ${drawError.message}`)); } }; img.onerror = () => { URL.revokeObjectURL(url); reject(new Error('Failed to load SVG. Try SVG export instead.')); }; img.src = url; } catch (error) { reject(error); } }); }; // CSV export - uses crop_gender_data const toCsv = () => { const data = crop_gender_data; if (!data || data.length === 0) { throw new Error(_lang(t.noDataAvailable)); } const headers = Object.keys(data[0]); const csvRows = [ headers.join(','), ...data.map(row => headers.map(header => { const value = row[header]; return typeof value === 'string' && value.includes(',') ? `"${value.replace(/"/g, '""')}"` : value; }).join(',') ) ]; return new Blob([csvRows.join('\n')], { type: 'text/csv' }); }; // JSON export const toJson = () => { const data = crop_gender_data; if (!data) { throw new Error(_lang(t.noDataAvailableJson)); } return new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' }); }; // Download helper const downloadBlob = (blob, filename) => { if (!blob || blob.size === 0) { throw new Error(`Blob is empty for ${filename}`); } const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = filename; a.style.display = 'none'; document.body.appendChild(a); a.click(); document.body.removeChild(a); setTimeout(() => URL.revokeObjectURL(url), 100); }; const select = html``; select.onchange = async (event) => { const format = event.target.value; if (!format) return; try { const ts = new Date().toISOString().replace(/[:.]/g, '-').split('T')[0]; let filename, blob; if (format === 'svg') { filename = `heatmap-production-${ts}.svg`; blob = toSvgBlob(); downloadBlob(blob, filename); } else if (format === 'png' || format === 'jpeg') { filename = `heatmap-production-${ts}.${format === 'jpeg' ? 'jpg' : 'png'}`; blob = await toRaster(format); downloadBlob(blob, filename); } else if (format === 'csv') { filename = `heatmap-production-data-${ts}.csv`; blob = toCsv(); downloadBlob(blob, filename); } else if (format === 'json') { filename = `heatmap-production-data-${ts}.json`; blob = toJson(); downloadBlob(blob, filename); } } catch (err) { console.error('Export failed:', err); const errorMsg = `${_lang(t.exportFailed)} ${err.message || err}`; console.error(errorMsg); const notification = html`

${errorMsg}

`; document.body.appendChild(notification); setTimeout(() => notification.remove(), 5000); } finally { event.target.value = ''; } }; return html`

${_lang(t.title)}

${select}

`; } 4c:T2527,EmpowermentLollipop = { const chartType = (ChartType === "lollipop" || ChartType === "bar") ? ChartType : "lollipop"; // Increase bottom margin for bar chart to accommodate rotated labels const margin = { top: 10, right: 70, bottom: chartType === "bar" ? 80 : 35, left: 85 }; const width = 350 - margin.left - margin.right; const height = 200 - margin.top - margin.bottom; const lollipop_admin = admin1_sel === "Full Country" ? _lang(nbText.General.adminNames[country]) : admin1_sel; // Common data processing const data = roi[0]; const variablesToKeep = [ "empowerment_index", "decisions", "domestic_violence", "education", "employment", "family_planning", "reproductive_health" ]; const filteredData = Object.fromEntries( Object.entries(data).filter(([key, value]) => variablesToKeep.includes(key)) ); const variables = Object.keys(filteredData); variables.sort( (a, b) => variablesToKeep.indexOf(a) - variablesToKeep.indexOf(b) ); const region_name = country === "SSA" || admin1_sel === "Full Country" ? "SSA" : country; // Common tooltip setup const tooltip = d3 .select("body") .append("div") .attr("class", "plotTooltip") .style("position", "absolute"); let tooltipText; if (admin1_sel !== "Full Country") { tooltipText = (d) => `${_lang(nbText.GenderInvestments.GenderIndex.plot.domains[d])}
${lollipop_admin} ${_lang(nbText.General.mean)}: ${filteredData[d].toFixed( 2 )}
${region_name} ${_lang(nbText.General.mean)}: ${regional_avg[d].toFixed(2)}`; } else { tooltipText = (d) => `${_lang(nbText.GenderInvestments.GenderIndex.plot.domains[d])}
${lollipop_admin} ${_lang(nbText.General.mean)}: ${filteredData[d].toFixed( 2 )}`; } // Bar chart implementation if (chartType === "bar") { const xScale = d3.scaleBand() .domain(variables) .range([0, width]) .padding(0.2); const yScale = d3.scaleLinear() .domain([0, 1]) .range([height, 0]); const svg = d3 .create("svg") .attr("viewBox", [ 0, 0, width + margin.left + margin.right, height + margin.top + margin.bottom ]) .attr("width", "90%") .attr("height", "90%"); const g = svg .append("g") .attr("transform", `translate(${margin.left},${margin.top})`); // Draw bars const bars = g .selectAll(".bar") .data(variables) .enter() .append("rect") .attr("class", "bar") .attr("x", (d) => xScale(d)) .attr("y", (d) => yScale(filteredData[d])) .attr("width", xScale.bandwidth()) .attr("height", (d) => height - yScale(filteredData[d])) .attr("fill", "#57832b") .attr("stroke", "#fff") .attr("stroke-width", 0.5); bars .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(tooltipText(d)); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); // Draw regional average bars if not Full Country if (admin1_sel !== "Full Country") { const meanBars = g .selectAll(".mean-bar") .data(variables) .enter() .append("rect") .attr("class", "mean-bar") .attr("x", (d) => xScale(d) + xScale.bandwidth() * 0.6) .attr("y", (d) => yScale(regional_avg[d])) .attr("width", xScale.bandwidth() * 0.4) .attr("height", (d) => height - yScale(regional_avg[d])) .attr("fill", "grey") .attr("stroke", "#fff") .attr("stroke-width", 0.5); meanBars .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(tooltipText(d)); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); // Add legend g.append("g") .attr("transform", `translate(${width - 60}, 10) scale(0.35)`) .append(loli_legend); } // X-axis (bottom) with rotated labels const xAxis = g.append("g") .attr("transform", `translate(0,${height})`) .call(d3.axisBottom(xScale).tickFormat((d) => _lang(nbText.GenderInvestments.GenderIndex.plot.domains[d]))) .attr("stroke-width", ".5px") .attr("font-size", "8px"); // Rotate x-axis labels to vertical xAxis.selectAll("text") .style("text-anchor", "end") .attr("dx", "-.8em") .attr("dy", ".15em") .attr("transform", "rotate(-90)"); // Y-axis (left) g.append("g") .call(d3.axisLeft(yScale)) .attr("stroke-width", ".5px") .attr("font-size", "8px"); // Y-axis label g.append("text") .attr("transform", "rotate(-90)") .attr("y", -margin.left + 15) .attr("x", -height / 2) .style("text-anchor", "middle") .text(_lang(nbText.GenderInvestments.GenderIndex.plot.title_X)) .attr("font-size", "8px"); return svg.node(); } // Lollipop chart implementation (original) const svg = d3 .create("svg") .attr("viewBox", [ 0, 0, width + margin.left + margin.right, height + margin.top + margin.bottom ]) .attr("width", "90%") .attr("height", "90%"); const g = svg .append("g") .attr("transform", `translate(${margin.left},${margin.top})`); const xScale = d3.scaleLinear().domain([0, 1]).range([0, width]); const yScale = d3 .scaleBand() .domain(variables) .range([0, height]) .padding(0.1); let countryLine_offset = 2; if (admin1_sel !== "Full Country") { countryLine_offset = 2.75; const meanLine_offset = 1.5; const meanLine = g .selectAll(".mean-line") .data(variables) .enter() .append("line") .attr("class", "mean-line") .attr("x1", 0) .attr("x2", (d) => xScale(regional_avg[d])) .attr( "y1", (d) => yScale(d) + yScale.bandwidth() / meanLine_offset ) .attr( "y2", (d) => yScale(d) + yScale.bandwidth() / meanLine_offset ) .attr("stroke", "grey") .attr("stroke-width", 0.75); meanLine .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(tooltipText(d)); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); const meanDot = g .selectAll(".mean-dot") .data(variables) .enter() .append("circle") .attr("class", "mean-dot") .attr("cx", (d) => xScale(regional_avg[d])) .attr( "cy", (d) => yScale(d) + yScale.bandwidth() / meanLine_offset ) .attr("r", 2) .attr("fill", "grey"); meanDot .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(tooltipText(d)); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); g.append("g") .attr("transform", `translate(195, 70) scale(0.35)`) .append(loli_legend); } const line = g .selectAll(".line") .data(variables) .enter() .append("line") .attr("class", "line") .attr("x1", 0.1) .attr("x2", (d) => xScale(filteredData[d])) .attr( "y1", (d) => yScale(d) + yScale.bandwidth() / countryLine_offset ) .attr( "y2", (d) => yScale(d) + yScale.bandwidth() / countryLine_offset ) .attr("stroke", "#57832b") .attr("stroke-width", 0.75); line .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(tooltipText(d)); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); const dot = g .selectAll(".dot") .data(variables) .enter() .append("circle") .attr("class", "dot") .attr("cx", (d) => xScale(filteredData[d])) .attr( "cy", (d) => yScale(d) + yScale.bandwidth() / countryLine_offset ) .attr("r", 3) .attr("fill", "#57832b"); dot .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(tooltipText(d)); }) .on("mouseout", function (event, d) { tooltip.style("opacity", 0); }); g.append("g") .attr("transform", `translate(0,${height})`) .call(d3.axisBottom(xScale)) .attr("stroke-width", ".5px") .attr("font-size", "8px"); g.append("text") .attr("transform", `translate(${width / 2}, ${height + margin.bottom - 5})`) .style("text-anchor", "middle") .text(_lang(nbText.GenderInvestments.GenderIndex.plot.title_X)) .attr("font-size", "8px"); g.append("g") .call(d3.axisLeft(yScale).tickSize(0).tickFormat((d) => _lang(nbText.GenderInvestments.GenderIndex.plot.domains[d]))) .attr("stroke-width", ".5px") .attr("font-size", "8px"); return svg.node(); } 4d:T218d,viewof exportEmpowermentLollipop = { const t = nbText.export.empowermentLollipop; // =========== // TUNABLE SIZE // =========== const EXPORT_SETTINGS = { widthMultiplier: 1.0, heightMultiplier: 1.0, minWidth: 400, minHeight: 250, padding: 8, scale: 2 }; const getLollipopSvg = () => { try { const plotOutput = EmpowermentLollipop; if (!plotOutput) return null; if (plotOutput.tagName === 'svg') return plotOutput; if (plotOutput.querySelector) { const svg = plotOutput.querySelector('svg'); if (svg) return svg; } return null; } catch (e) { console.error('Error accessing _20:', e); return null; } }; const buildSvg = () => { const originalSvg = getLollipopSvg(); if (!originalSvg) { throw new Error(_lang(t.chartNotFound)); } const svg = originalSvg.cloneNode(true); // Base dimensions from viewBox or bounding box let width, height; const viewBox = svg.getAttribute('viewBox'); if (viewBox) { const parts = viewBox.split(/\s+|,/).filter(Boolean).map(Number); if (parts.length === 4) { width = parts[2]; height = parts[3]; } } if (!width || !height) { const rect = originalSvg.getBoundingClientRect(); width = rect.width || 350; height = rect.height || 200; svg.setAttribute('viewBox', `0 0 ${width} ${height}`); } // Apply multipliers and minimums width = Math.max(Math.ceil(width * EXPORT_SETTINGS.widthMultiplier), EXPORT_SETTINGS.minWidth); height = Math.max(Math.ceil(height * EXPORT_SETTINGS.heightMultiplier), EXPORT_SETTINGS.minHeight); // Add padding width += EXPORT_SETTINGS.padding * 2; height += EXPORT_SETTINGS.padding * 2; svg.setAttribute('width', width); svg.setAttribute('height', height); if (!svg.getAttribute('viewBox')) { svg.setAttribute('viewBox', `0 0 ${width} ${height}`); } // White background const bg = document.createElementNS('http://www.w3.org/2000/svg', 'rect'); bg.setAttribute('x', 0); bg.setAttribute('y', 0); bg.setAttribute('width', width); bg.setAttribute('height', height); bg.setAttribute('fill', 'white'); svg.insertBefore(bg, svg.firstChild); return { svg, width, height }; }; const toSvgBlob = () => { const { svg } = buildSvg(); const serializer = new XMLSerializer(); const svgString = serializer.serializeToString(svg); return new Blob( ['\n' + svgString], { type: 'image/svg+xml' } ); }; const toRaster = async (format = 'png') => { const { svg, width, height } = buildSvg(); const serializer = new XMLSerializer(); let svgString = serializer.serializeToString(svg); if (!svgString.startsWith('\n' + svgString; } const svgBlob = new Blob([svgString], { type: 'image/svg+xml;charset=utf-8' }); const url = URL.createObjectURL(svgBlob); return new Promise((resolve, reject) => { const img = new Image(); const scale = EXPORT_SETTINGS.scale || 2; const canvas = document.createElement('canvas'); canvas.width = width * scale; canvas.height = height * scale; const ctx = canvas.getContext('2d'); ctx.scale(scale, scale); ctx.fillStyle = 'white'; ctx.fillRect(0, 0, width, height); img.onload = () => { try { ctx.drawImage(img, 0, 0, width, height); URL.revokeObjectURL(url); canvas.toBlob( blob => blob ? resolve(blob) : reject(new Error('Failed to create raster blob')), `image/${format}`, 0.95 ); } catch (e) { URL.revokeObjectURL(url); reject(e); } }; img.onerror = () => { URL.revokeObjectURL(url); reject(new Error('Failed to render SVG to image')); }; img.src = url; }); }; // CSV/JSON: same logic as _20 const toCsv = () => { const data = roi[0]; const variablesToKeep = [ "empowerment_index", "decisions", "domestic_violence", "education", "employment", "family_planning", "reproductive_health" ]; const filteredData = Object.fromEntries( Object.entries(data).filter(([key]) => variablesToKeep.includes(key)) ); const variables = Object.keys(filteredData).sort( (a, b) => variablesToKeep.indexOf(a) - variablesToKeep.indexOf(b) ); const rows = []; rows.push(['variable', 'domain_label', 'country_value', 'regional_mean'].join(',')); variables.forEach(v => { const label = _lang(nbText.GenderInvestments.GenderIndex.plot.domains[v]) || v; const countryVal = filteredData[v] != null ? filteredData[v] : ''; const regionVal = regional_avg[v] != null ? regional_avg[v] : ''; rows.push([ v, `"${String(label).replace(/"/g, '""')}"`, countryVal, regionVal ].join(',')); }); return new Blob([rows.join('\n')], { type: 'text/csv' }); }; const toJson = () => { const data = roi[0]; const variablesToKeep = [ "empowerment_index", "decisions", "domestic_violence", "education", "employment", "family_planning", "reproductive_health" ]; const filteredData = Object.fromEntries( Object.entries(data).filter(([key]) => variablesToKeep.includes(key)) ); const variables = Object.keys(filteredData).sort( (a, b) => variablesToKeep.indexOf(a) - variablesToKeep.indexOf(b) ); const out = variables.map(v => ({ variable: v, domain_label: _lang(nbText.GenderInvestments.GenderIndex.plot.domains[v]) || v, country_value: filteredData[v] ?? null, regional_mean: regional_avg[v] ?? null })); return new Blob( [JSON.stringify(out, null, 2)], { type: 'application/json' } ); }; const downloadBlob = (blob, filename) => { if (!blob || blob.size === 0) throw new Error(`Empty blob for ${filename}`); const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = filename; a.style.display = 'none'; document.body.appendChild(a); a.click(); document.body.removeChild(a); setTimeout(() => URL.revokeObjectURL(url), 100); }; const select = html``; select.onchange = async e => { const format = e.target.value; if (!format) return; try { const ts = new Date().toISOString().replace(/[:.]/g, '-').split('T')[0]; let blob, filename; if (format === 'svg') { blob = toSvgBlob(); filename = `empowerment-lollipop-${ts}.svg`; } else if (format === 'png' || format === 'jpeg') { blob = await toRaster(format); filename = `empowerment-lollipop-${ts}.${format === 'jpeg' ? 'jpg' : 'png'}`; } else if (format === 'csv') { blob = toCsv(); filename = `empowerment-lollipop-data-${ts}.csv`; } else if (format === 'json') { blob = toJson(); filename = `empowerment-lollipop-data-${ts}.json`; } downloadBlob(blob, filename); } catch (err) { console.error('Export failed:', err); const msg = `${_lang(t.exportFailed)} ${err.message || err}`; const note = html`

${msg}

`; document.body.appendChild(note); setTimeout(() => note.remove(), 5000); } finally { e.target.value = ''; } }; return html`

${_lang(t.title)}

${select}

`; } 4e:T475,viewof BiVariable_form = Inputs.form( { hazard: Inputs.radio(["human", "crop", "livestock"], { value: "human", label: html`${_lang(nbText.GenderHotspots.selectors.heatHazard.title)}`, format: (x) => html`

${hs_icons[x].cloneNode(true)} ${_lang(nbText.GenderHotspots.selectors.heatHazard.hazards[x])}

` }), Gender_var: Inputs.bind( Inputs.select( // new Map(Object.entries(F_dict).map(([key, value]) => [value, key])), Object.keys(F_dict), { label: _lang(nbText.GenderHotspots.selectors.GenderVar.title), value: "women_in_agric", format: (x) => _lang((nbText.GenderHotspots.selectors.GenderVar.domains[x])) } ), viewof sel_gender_var ) }, { template: ( inputs ) => htl.html`

${Object.values(inputs)}

` } )4f:T1ab3,viewof Bivariate_map = { const height = 610; const width = 775; const padding = 20; let x; if (country === "SSA") { x = d3.scaleQuantile( Array.from( BiVar_merge.filter((d) => d.admin1_name === null), (d) => d[G_variable] ), d3.range(3) ); } else { x = d3.scaleQuantile( Array.from( BiVar_merge.filter((d) => d.admin1_name !== null), (d) => d[G_variable] ), d3.range(3) ); } const haz_threshold = [ hazard_bivariate_thresholds[heat_hazard]["low"], hazard_bivariate_thresholds[heat_hazard]["high"] ]; d3.select(".bivariateTip").remove(); const tooltip = d3 .select("body") .append("div") .attr("class", "plotTooltip bivariateTip") .style("position", "absolute"); const y = d3.scaleThreshold().domain(haz_threshold).range(d3.range(3)); const projection = d3.geoMercator(); const geo_path = d3.geoPath().projection(projection); const color = d3.scaleOrdinal().domain(d3.range(9)).range(bi_color); const a0_features = topojson.feature( admin0_boundaries, admin0_boundaries.objects["atlas-region_admin0_harmonized"] ); projection.fitExtent( [ [padding, padding], [width - padding, height - padding] ], a0_features ); const svg = d3 .create("svg") .attr("viewBox", [0, 0, 900, 680]) .attr("title", "Map") .on("dblclick", resetView); const a0_paths = svg .append("g") .selectAll("path") .data(a0_features.features) .join("path") .attr("stroke", "white") .attr("stroke-width", "1px") .attr("class", "admin0-boundary") .attr("fill", (d) => { const a0_data = index.get(d.properties.admin0_name).get(null); return color(x(a0_data[G_variable]) * 3 + y(a0_data.hs_value)); }) .attr("d", geo_path) .on("click", clicked); a0_paths .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(() => { const admin0_name = d.properties.admin0_name; const dataEntry = index.get(admin0_name).get(null); const heatStressText = `${_lang(nbText.GenderHotspots.plot.heatLabels[heat_hazard])}: ${dataEntry.hs_value.toFixed( 2 )} (${_lang(nbText.General[labels[y(dataEntry.hs_value)]])})`; let variableText; if (G_variable === "women_in_agric") { variableText = `${_lang(nbText.GenderHotspots.selectors.GenderVar.domains[G_variable])}: ${dataEntry[ G_variable ].toLocaleString(undefined, { maximumFractionDigits: 0 })} (${ _lang(nbText.General[labels[x(dataEntry[G_variable])]]) })`; } else { variableText = `${_lang(nbText.GenderHotspots.selectors.GenderVar.domains[G_variable])}: ${dataEntry[ G_variable ].toFixed(2)} (${_lang(nbText.General[labels[x(dataEntry[G_variable])]])})`; } return `${_lang(nbText.General.adminNames[admin0_name])}
${heatStressText}
${variableText}`; }); }) .on("mouseout", function (event, d) { mutable hover_data = null; tooltip.style("opacity", 0); }); const mesh = svg .append("path") .datum( topojson.mesh( admin0_boundaries, admin0_boundaries.objects["atlas-region_admin0_harmonized"], (a, b) => a !== b ) ) .attr("fill", "none") .attr("stroke", "black") .attr("stroke-linejoin", "round") .attr("d", geo_path); if (clickedAdmin0 !== null) { const padding_a1 = 150; const admin1_features = topojson .feature( admin1_boundaries, admin1_boundaries.objects["atlas-region_admin1_harmonizedV2"] ) .features.filter( (feature) => feature.properties.admin0_name === clickedAdmin0 ); const admin1_geojson = { type: "FeatureCollection", features: admin1_features }; const a1_paths = svg .append("g") .selectAll("path") .data(admin1_features) .join("path") .attr("stroke", "white") .attr("stroke-width", "1px") .attr("fill", (d) => { const admin0_map = index.get(d.properties.admin0_name); const a1_data = admin0_map.get(d.properties.admin1_name); return color(x(a1_data[G_variable]) * 3 + y(a1_data.hs_value)); }) .attr("class", "admin1-boundary"); a1_paths .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 10 + "px") .style("opacity", 1) .html(() => { const dataEntry = index .get(d.properties.admin0_name) .get(d.properties.admin1_name); const heatStressText = `${_lang(nbText.GenderHotspots.plot.heatLabels[heat_hazard])}: ${dataEntry.hs_value.toFixed( 2 )} (${_lang(nbText.General[labels[y(dataEntry.hs_value)]])})`; let variableText; if (G_variable === "women_in_agric") { variableText = `${_lang(nbText.GenderHotspots.selectors.GenderVar.domains[G_variable])}: ${dataEntry[ G_variable ].toLocaleString(undefined, { maximumFractionDigits: 0 })} (${ _lang(nbText.General[labels[x(dataEntry[G_variable])]]) })`; } else { variableText = `${_lang(nbText.GenderHotspots.selectors.GenderVar.domains[G_variable])}: ${dataEntry[ G_variable ].toFixed(2)} (${_lang(nbText.General[labels[x(dataEntry[G_variable])]])})`; } return `${d.properties.admin1_name}, ${_lang(nbText.General.adminNames[d.properties.admin0_name])}
${heatStressText}
${variableText}`; }); }) .on("mouseout", function (event, d) { mutable hover_data = null; tooltip.style("opacity", 0); }); projection.fitExtent( [ [padding_a1, padding_a1], [width - padding_a1, height - padding_a1] // This is where the translate happens + 250 ], admin1_geojson ); a0_paths.attr("visibility", "hidden"); svg.selectAll("path").attr("d", geo_path); } const legend = svg .append("g") .attr("transform", `translate(-30,${height - 210}) scale(1)`) .append(bi_legend); return svg.node(); function resetView() { mutable clickedAdmin0 = null; projection.fitExtent( [ [padding, padding], [width - padding, height - padding] ], a0_features ); svg.selectAll("path").attr("d", geo_path); } function clicked(event, d) { mutable clickedAdmin0 = d.properties.admin0_name; } }50:T4907,exportbavariatemap = { const t = nbText.export.bivariateMap; const downloadBlob = (blob, filename) => { const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = filename; a.style.display = 'none'; document.body.appendChild(a); a.click(); document.body.removeChild(a); setTimeout(() => URL.revokeObjectURL(url), 100); }; const showNotification = (message, isError = false) => { const el = html`

${message}

`; document.body.appendChild(el); setTimeout(() => el.parentNode && el.parentNode.removeChild(el), isError ? 5000 : 3000); }; // Find the map SVG — Bivariate_map returns svg.node() directly const findMap = () => { const node = Bivariate_map; if (!node) return null; if (node.tagName && node.tagName.toLowerCase() === 'svg') return node; return node.querySelector ? node.querySelector('svg') : null; }; const buildSvg = () => { const svgElement = findMap(); if (!svgElement) throw new Error(_lang(t.mapNotFound)); const svg = svgElement.cloneNode(true); let width, height; const viewBox = svgElement.getAttribute('viewBox'); if (viewBox) { const parts = viewBox.split(/\s+|,/).filter(p => p).map(parseFloat); if (parts.length === 4) { width = parts[2]; height = parts[3]; } } if (!width || !height) { const rect = svgElement.getBoundingClientRect(); width = rect.width || 900; height = rect.height || 680; } svg.setAttribute('width', width); svg.setAttribute('height', height); if (!svg.getAttribute('viewBox')) svg.setAttribute('viewBox', `0 0 ${width} ${height}`); const bg = document.createElementNS('http://www.w3.org/2000/svg', 'rect'); bg.setAttribute('x', '0'); bg.setAttribute('y', '0'); bg.setAttribute('width', width); bg.setAttribute('height', height); bg.setAttribute('fill', 'white'); svg.insertBefore(bg, svg.firstChild); return { svg, width, height }; }; const toSvgBlob = () => { const { svg } = buildSvg(); const s = new XMLSerializer(); const str = '\n' + s.serializeToString(svg); return new Blob([str], { type: 'image/svg+xml' }); }; const toRaster = (format = 'png') => new Promise((resolve, reject) => { try { const { svg, width, height } = buildSvg(); const s = new XMLSerializer(); let str = s.serializeToString(svg); if (!str.includes('\n' + str; const svgBlob = new Blob([str], { type: 'image/svg+xml;charset=utf-8' }); const url = URL.createObjectURL(svgBlob); const img = new Image(); const canvas = document.createElement('canvas'); const scale = 2; canvas.width = width * scale; canvas.height = height * scale; const ctx = canvas.getContext('2d'); ctx.scale(scale, scale); ctx.fillStyle = 'white'; ctx.fillRect(0, 0, width, height); img.onload = () => { try { ctx.drawImage(img, 0, 0, width, height); URL.revokeObjectURL(url); canvas.toBlob(blob => blob ? resolve(blob) : reject(new Error('Failed to create blob')), `image/${format}`, 0.95); } catch (e) { URL.revokeObjectURL(url); reject(e); } }; img.onerror = () => { URL.revokeObjectURL(url); reject(new Error('Failed to load SVG image')); }; img.src = url; } catch (e) { reject(e); } }); // Filtered tabular data based on current view (SSA = admin0, country = admin1) const getFilteredData = () => country === "SSA" ? BiVar_merge.filter(d => d.admin1_name === null) : BiVar_merge.filter(d => d.admin0_name === country && d.admin1_name !== null); // GeoJSON: join topojson boundaries with BiVar_merge data const getGeoJson = () => { const filtered = getFilteredData(); let features; if (country === "SSA") { const a0 = topojson.feature( admin0_boundaries, admin0_boundaries.objects["atlas-region_admin0_harmonized"] ).features; features = a0.map(f => { const entry = filtered.find(d => d.admin0_name === f.properties.admin0_name) || {}; return { type: "Feature", geometry: f.geometry, properties: { ...entry, admin0_name: f.properties.admin0_name } }; }); } else { const a1 = topojson.feature( admin1_boundaries, admin1_boundaries.objects["atlas-region_admin1_harmonizedV2"] ).features.filter(f => f.properties.admin0_name === country); features = a1.map(f => { const entry = filtered.find(d => d.admin1_name === f.properties.admin1_name) || {}; return { type: "Feature", geometry: f.geometry, properties: { ...entry, admin0_name: f.properties.admin0_name, admin1_name: f.properties.admin1_name } }; }); } return { type: "FeatureCollection", features }; }; const toCsv = () => { const data = getFilteredData(); if (!data || data.length === 0) throw new Error(_lang(t.noDataAvailable)); const headers = Object.keys(data[0]); const rows = [ headers.join(','), ...data.map(row => headers.map(h => { const v = row[h]; if (v === null || v === undefined) return ''; const s = String(v); return s.includes(',') || s.includes('"') || s.includes('\n') ? `"${s.replace(/"/g, '""')}"` : s; }).join(',') ) ]; return new Blob([rows.join('\n')], { type: 'text/csv' }); }; const toJson = () => { const data = getFilteredData(); if (!data) throw new Error(_lang(t.noDataAvailable)); return new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' }); }; const toGeoJsonBlob = () => new Blob([JSON.stringify(getGeoJson(), null, 2)], { type: 'application/geo+json' }); // Shapefile export — pure JS, no external dependencies const downloadAsShapefile = (geojson, filename) => { showNotification('Generating shapefile...', false); const crcTable = (() => { const tb = new Uint32Array(256); for (let i = 0; i < 256; i++) { let c = i; for (let j = 0; j < 8; j++) c = (c & 1) ? (0xEDB88320 ^ (c >>> 1)) : (c >>> 1); tb[i] = c; } return tb; })(); const crc32 = (data) => { let crc = 0xFFFFFFFF; for (let i = 0; i < data.length; i++) crc = crcTable[(crc ^ data[i]) & 0xFF] ^ (crc >>> 8); return (crc ^ 0xFFFFFFFF) >>> 0; }; const buildShapefiles = (features) => { let shapeType = 5; for (const f of features) { if (!f.geometry) continue; if (f.geometry.type === 'Point' || f.geometry.type === 'MultiPoint') { shapeType = 1; break; } if (f.geometry.type === 'LineString' || f.geometry.type === 'MultiLineString') { shapeType = 3; break; } if (f.geometry.type === 'Polygon' || f.geometry.type === 'MultiPolygon') { shapeType = 5; break; } } const getRings = (geom) => { if (geom.type === 'Polygon') return geom.coordinates; if (geom.type === 'MultiPolygon') return geom.coordinates.flat(1); if (geom.type === 'LineString') return [geom.coordinates]; if (geom.type === 'MultiLineString') return geom.coordinates; return null; }; let gMinX = Infinity, gMinY = Infinity, gMaxX = -Infinity, gMaxY = -Infinity; const recs = features.map(f => { const geom = f.geometry; if (!geom) return { type: 0 }; if (shapeType === 1) { const coords = geom.type === 'Point' ? geom.coordinates : geom.coordinates[0]; const [x, y] = coords; if (x < gMinX) gMinX = x; if (y < gMinY) gMinY = y; if (x > gMaxX) gMaxX = x; if (y > gMaxY) gMaxY = y; return { type: 1, x, y, contentBytes: 20 }; } const rings = getRings(geom); if (!rings) return { type: 0 }; let minX = Infinity, minY = Infinity, maxX = -Infinity, maxY = -Infinity, totalPts = 0; for (const ring of rings) { for (const [px, py] of ring) { if (px < minX) minX = px; if (py < minY) minY = py; if (px > maxX) maxX = px; if (py > maxY) maxY = py; totalPts++; } } if (minX < gMinX) gMinX = minX; if (minY < gMinY) gMinY = minY; if (maxX > gMaxX) gMaxX = maxX; if (maxY > gMaxY) gMaxY = maxY; const contentBytes = 44 + 4 * rings.length + 16 * totalPts; return { type: shapeType, rings, minX, minY, maxX, maxY, totalPts, contentBytes }; }); if (!isFinite(gMinX)) { gMinX = 0; gMinY = 0; gMaxX = 0; gMaxY = 0; } const HDR = 100; let shpSize = HDR; for (const r of recs) shpSize += 8 + (r.type === 0 ? 4 : r.contentBytes); const shpBuf = new Uint8Array(shpSize); const shxBuf = new Uint8Array(HDR + recs.length * 8); const sv = new DataView(shpBuf.buffer); const xv = new DataView(shxBuf.buffer); const writeHdr = (dv, fileLen) => { dv.setInt32(0, 9994, false); dv.setInt32(24, fileLen / 2, false); dv.setInt32(28, 1000, true); dv.setInt32(32, shapeType, true); dv.setFloat64(36, gMinX, true); dv.setFloat64(44, gMinY, true); dv.setFloat64(52, gMaxX, true); dv.setFloat64(60, gMaxY, true); }; writeHdr(sv, shpSize); writeHdr(xv, shxBuf.length); let shpOff = HDR; for (let i = 0; i < recs.length; i++) { const r = recs[i]; const cLen = r.type === 0 ? 4 : r.contentBytes; xv.setInt32(HDR + i * 8, shpOff / 2, false); xv.setInt32(HDR + i * 8 + 4, cLen / 2, false); sv.setInt32(shpOff, i + 1, false); sv.setInt32(shpOff + 4, cLen / 2, false); shpOff += 8; if (r.type === 0) { sv.setInt32(shpOff, 0, true); shpOff += 4; } else if (r.type === 1) { sv.setInt32(shpOff, 1, true); shpOff += 4; sv.setFloat64(shpOff, r.x, true); shpOff += 8; sv.setFloat64(shpOff, r.y, true); shpOff += 8; } else { sv.setInt32(shpOff, r.type, true); shpOff += 4; sv.setFloat64(shpOff, r.minX, true); shpOff += 8; sv.setFloat64(shpOff, r.minY, true); shpOff += 8; sv.setFloat64(shpOff, r.maxX, true); shpOff += 8; sv.setFloat64(shpOff, r.maxY, true); shpOff += 8; sv.setInt32(shpOff, r.rings.length, true); shpOff += 4; sv.setInt32(shpOff, r.totalPts, true); shpOff += 4; let ptIdx = 0; for (const ring of r.rings) { sv.setInt32(shpOff, ptIdx, true); shpOff += 4; ptIdx += ring.length; } for (const ring of r.rings) { for (const [px, py] of ring) { sv.setFloat64(shpOff, px, true); shpOff += 8; sv.setFloat64(shpOff, py, true); shpOff += 8; } } } } return { shp: shpBuf, shx: shxBuf }; }; const buildDbf = (features) => { const enc = new TextEncoder(); const allProps = features.map(f => f.properties || {}); const allKeys = [...new Set(allProps.flatMap(p => Object.keys(p)))]; const fields = allKeys.slice(0, 255).map(key => { const name = key.substring(0, 10); const vals = allProps.map(p => p[key]).filter(v => v !== null && v !== undefined); const isNum = vals.length > 0 && vals.every(v => typeof v === 'number' || (typeof v === 'string' && v.trim() !== '' && !isNaN(+v)) ); if (isNum) { const hasDecimal = vals.some(v => !Number.isInteger(typeof v === 'number' ? v : +v)); return { name, key, type: 'N', length: hasDecimal ? 18 : 11, decimals: hasDecimal ? 6 : 0 }; } const maxLen = Math.min(254, Math.max(1, ...vals.map(v => enc.encode(String(v)).length))); return { name, key, type: 'C', length: maxLen, decimals: 0 }; }); const n = features.length; const hdrSize = 32 + fields.length * 32 + 1; const recSize = 1 + fields.reduce((s, f) => s + f.length, 0); const buf = new Uint8Array(hdrSize + n * recSize + 1); const dv = new DataView(buf.buffer); const now = new Date(); buf[0] = 3; buf[1] = now.getFullYear() - 1900; buf[2] = now.getMonth() + 1; buf[3] = now.getDate(); dv.setUint32(4, n, true); dv.setUint16(8, hdrSize, true); dv.setUint16(10, recSize, true); let fOff = 32; for (const f of fields) { const nb = enc.encode(f.name); for (let i = 0; i < 11; i++) buf[fOff + i] = i < nb.length ? nb[i] : 0; buf[fOff + 11] = f.type.charCodeAt(0); buf[fOff + 16] = f.length; buf[fOff + 17] = f.decimals; fOff += 32; } buf[fOff] = 0x0D; for (let i = 0; i < n; i++) { const props = allProps[i]; let rOff = hdrSize + i * recSize; buf[rOff++] = 0x20; for (const f of fields) { const raw = props[f.key]; let s; if (raw === null || raw === undefined) { s = ' '.repeat(f.length); } else if (f.type === 'N') { s = String(typeof raw === 'number' ? raw : +raw).padStart(f.length).substring(0, f.length); } else { s = String(raw).substring(0, f.length).padEnd(f.length); } const bytes = enc.encode(s); for (let j = 0; j < f.length; j++) buf[rOff + j] = j < bytes.length ? bytes[j] : 0x20; rOff += f.length; } } buf[buf.length - 1] = 0x1A; return buf; }; const buildPrj = () => new TextEncoder().encode( 'GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],' + 'PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]' ); const buildZip = (files) => { const enc = new TextEncoder(); const localParts = [], centralParts = []; let localOffset = 0; for (const { name, data } of files) { const nb = enc.encode(name); const crc = crc32(data), size = data.length; const lh = new Uint8Array(30 + nb.length); const lv = new DataView(lh.buffer); lv.setUint32(0, 0x04034b50, true); lv.setUint16(4, 20, true); lv.setUint16(8, 0, true); lv.setUint32(14, crc, true); lv.setUint32(18, size, true); lv.setUint32(22, size, true); lv.setUint16(26, nb.length, true); lh.set(nb, 30); const cdh = new Uint8Array(46 + nb.length); const cv = new DataView(cdh.buffer); cv.setUint32(0, 0x02014b50, true); cv.setUint16(4, 20, true); cv.setUint16(6, 20, true); cv.setUint32(16, crc, true); cv.setUint32(20, size, true); cv.setUint32(24, size, true); cv.setUint16(28, nb.length, true); cv.setUint32(42, localOffset, true); cdh.set(nb, 46); localParts.push(lh, data); centralParts.push(cdh); localOffset += lh.length + size; } const cdirOffset = localOffset; const cdirSize = centralParts.reduce((s, p) => s + p.length, 0); const eocd = new Uint8Array(22); const ev = new DataView(eocd.buffer); ev.setUint32(0, 0x06054b50, true); ev.setUint16(8, files.length, true); ev.setUint16(10, files.length, true); ev.setUint32(12, cdirSize, true); ev.setUint32(16, cdirOffset, true); const all = [...localParts, ...centralParts, eocd]; const total = all.reduce((s, p) => s + p.length, 0); const out = new Uint8Array(total); let pos = 0; for (const p of all) { out.set(p, pos); pos += p.length; } return out; }; const { shp, shx } = buildShapefiles(geojson.features); const dbf = buildDbf(geojson.features); const prj = buildPrj(); const base = filename.replace(/\.[^.]+$/, ''); const zipData = buildZip([ { name: `${base}.shp`, data: shp }, { name: `${base}.shx`, data: shx }, { name: `${base}.dbf`, data: dbf }, { name: `${base}.prj`, data: prj }, ]); downloadBlob(new Blob([zipData], { type: 'application/zip' }), `${base}.zip`); }; // ── UI ──────────────────────────────────────────────────────────────────── const select = html``; select.onchange = async (event) => { const format = event.target.value; if (!format) return; const ts = new Date().toISOString().replace(/[:.]/g, '-').split('T')[0]; const base = `bivariate-map-${heat_hazard}-${G_variable}-${ts}`; try { if (format === 'svg') { downloadBlob(toSvgBlob(), `${base}.svg`); showNotification(_lang(t.exportSuccess)); } else if (format === 'png' || format === 'jpeg') { const blob = await toRaster(format); downloadBlob(blob, `${base}.${format === 'jpeg' ? 'jpg' : 'png'}`); showNotification(_lang(t.exportSuccess)); } else if (format === 'csv') { downloadBlob(toCsv(), `${base}.csv`); showNotification(_lang(t.csvSuccess)); } else if (format === 'json') { downloadBlob(toJson(), `${base}.json`); showNotification(_lang(t.jsonSuccess)); } else if (format === 'geojson') { downloadBlob(toGeoJsonBlob(), `${base}.geojson`); showNotification(_lang(t.geojsonSuccess)); } else if (format === 'shapefile') { downloadAsShapefile(getGeoJson(), `${base}.shp`); showNotification(_lang(t.shapefileSuccess)); } } catch (err) { console.error('Export failed:', err); showNotification(`${_lang(t.exportFailed)} ${err.message || err}`, true); } finally { event.target.value = ''; } }; return html`

${_lang(t.title)}

${select}

`; } 51:Td96,biVar_insight = { let filtered = country === "SSA" ? BiVar_merge.filter((d) => d.admin1_name === null).map((d) => ({ ...d, admin_name: d.admin0_name })) : BiVar_merge.filter( (d) => d.admin0_name === country && d.admin1_name !== null ).map((d) => ({ ...d, admin_name: d.admin1_name })); const heat_HotSpot = filtered.reduce( (max, obj) => obj.hs_value > max.hs_value ? { admin_name: obj.admin_name, hs_value: obj.hs_value, ac_value: obj[G_variable] } : max, { admin_name: null, hs_value: -Infinity } ); const classifyHSValue = (value) => { const thresholds = hazard_bivariate_thresholds[heat_hazard]; return value < thresholds.low ? "low" : value <= thresholds.high ? "moderate" : "high"; }; const classifyACValue = (value) => { const values = country === "SSA" ? BiVar_merge.filter((d) => d.admin1_name === null).map((d) => d[G_variable]) : BiVar_merge.filter((d) => d.admin1_name !== null).map((d) => d[G_variable]); const val_class = d3.scaleQuantile(values, d3.range(3))(value); return val_class === 0 ? "low" : val_class === 1 ? "moderate" : "high"; }; const gender_HotSpot = filtered.reduce( (extreme, obj) => G_variable === "women_in_agric" ? obj[G_variable] > extreme.value ? { admin_name: obj.admin_name, value: obj[G_variable], hs_value: obj.hs_value } : extreme : obj[G_variable] < extreme.value ? { admin_name: obj.admin_name, value: obj[G_variable], hs_value: obj.hs_value } : extreme, G_variable === "women_in_agric" ? { admin_name: null, value: -Infinity } : { admin_name: null, value: Infinity } ); let classified_ac = classifyACValue(heat_HotSpot.ac_value) let classified_hs = classifyHSValue(gender_HotSpot.hs_value) let regionIntro = country === "SSA" ? {en: "", fr: ""} : {en: "", fr: "la region de"} let regionIntro_cap = country === "SSA" ? {en: "", fr: ""} : {en: "", fr: "La region de"} let template_fillers = [ { name: "country", value: _lang(nbText.General.article_adminNames[country]) }, { name: "regionIntro", value: _lang(regionIntro) }, { name: "regionIntro_cap", value: _lang(regionIntro_cap) }, { name: "highest_gender", value: translateA0_only(gender_HotSpot.admin_name)}, { name: "HS_level", value: _lang(nbText.GenderHotspots.dynamicLevels[classified_hs.toLowerCase()])}, { name: "heatstress_var", value: _lang(nbText.GenderHotspots.plot.heatLabels[heat_hazard]).toLowerCase() }, { name: "highest_hs", value: translateA0_only(heat_HotSpot.admin_name)}, { name: "AC_level", value: _lang(nbText.GenderHotspots.dynamicLevels[classified_ac.toLowerCase()])}]; let md_text; let template if (G_variable === "women_in_agric") { template = _lang(nbText.GenderHotspots.dynamicInsight_womenInAgri) } else { template_fillers.push( { name: "gender_var", value: _lang(nbText.GenderHotspots.domains[G_variable]).toLowerCase()} ) template = _lang(nbText.GenderHotspots.dynamicInsight_FEMI) } return md`${Lang.reduceReplaceTemplateItems(template, template_fillers)}` function translateA0_only(adminName) { const translatedName = _lang(nbText.General.article_adminNames[adminName]); return translatedName === undefined ? adminName : translatedName; } }52:T136d,tableHTML = { //Translation solution for these is just have all values in an obj. I.e. table_vals = {Livestock:{}, Reinforce:{}} const columns = [ "Sector", // "Adaptation Options", "Gender Outcome Score", "Geography", "Confidence in Result", "Risk" // "Reference" ]; const table_data = gender_solutions.filter( (d) => d["Adaptation Options"] === adaptation ); let table = ` ${columns .map( (c) => `` ) .join("")}`; for (let [index, row] of table_data.entries()) { let rowColor = index % 2 === 0 ? "#f2f2f2" : "#ffffff"; table += `${columns .map((c) => { if (c === "Gender Outcome Score" && row[c]) { let outcome = row[c]; let sign = ""; let tipText; if (outcome === "Enabling") { sign = `+`; tipText = _lang(nbText.BridgeGap.table.tooltip.enable); } else if (outcome === "Reinforcing") { sign = `+`; tipText = _lang(nbText.BridgeGap.table.tooltip.reinforce); } else if (outcome === "Constraining") { sign = `-`; tipText = _lang(nbText.BridgeGap.table.tooltip.constrain); } else { sign = `-`; tipText = _lang(nbText.BridgeGap.table.tooltip.counteract); } return ``; } else if (c === "Geography" && row[c]) { return ``; } else if (c === "Risk" && row[c]) { return ``; } else if (c === "Confidence in Result" && row[c]) { let agreementColor; if (row[c] === "High") { agreementColor = "green"; } else if (row[c] === "Medium") { agreementColor = "orange"; } else { agreementColor = "red"; } return ``; } else { return ``; } }) .join("")}`; } table += `

${_lang(nbText.BridgeGap.table.headings[c])}
${sign} ${_lang(nbText.BridgeGap.table.values[row[c].toLowerCase()])}	${row[c] .split(",") .map((country) => country_flags[country.trim()] ? `${ country_flags[country.trim()].outerHTML }` : country ) .join(" ")}	${row[c] .split(",") .map((risk) => climate_risk_icons[risk.trim()] ? `${ climate_risk_icons[risk.trim()].outerHTML }` : risk ) .join(" ")}	${_lang(nbText.BridgeGap.table.values[row[c].toLowerCase()])}	${row[c].split(", ").map((v) => _lang(nbText.BridgeGap.table.values[v.toLowerCase()])).join(", ")}

`; let tableContainer = `

${table}

`; return html`${tableContainer}`; }53:Tdfd2,nbText1=({ toc : { title: {en: "In this notebook", am: "በዚህ ኖትቡክ ውስጥ", or: "Kutaa kana keessatti", ti: "ኣብዚ ኖትቡክ ውስጥ", so: "Buug-yarigan", af: "Asmat kee num kinni"} }, overview : { title: {en: 'Overview', am: "አጠቃላይ እይታ", or: "Ijaarsa", ti: "ሓፈሻዊ ትርኢት", so: "Dulmar", af: "Gexxa kinni"}, text: { en: `In the agricultural sectors of low- and middle-income nations, particularly within Africa and Asia, climate change acts as a formidable challenge, disproportionately affecting women farmers. Despite their pivotal role, women are notably more susceptible to climate adversities due to structural gender inequalities and social norms that limit their access to resources, land, and decision-making. At the same time, women can be powerful agents of change in enhancing climate resilience- past studies consistently demonstrate that achieving gender equality at household and community levels is directly associated with improved outcomes in agriculture, adaptation and development. How can we better understand this nexus, and where do we channelize investments which increase the agency of women for improved climate and development outcomes?`, am: `በዝቅተኛ እና መካከለኛ ገቢ አገሮች የስነ-ምግብ ልማት ዘርፎች፣ በተለይም በአፍሪካ እና በእስያ ውስጥ፣ የአየር ንብረት ለውጥ ከባድ ፈተና ነው፣ ይህም በአለመመጣጠን ሁኔታ ሴት አርሶ አደሮችን የሚጎዳ ነው። ወሳኝ ሚናቸው ቢኖራቸውም፣ ሴቶች ሀብት፣ መሬት እና ውሳኔ ማሰብ እንዲችሉ የሚያስችሉ መዋቅራዊ የጾታ አለመመጣጠን እና ማህበራዊ ልማዶች በመኖራቸው ለአየር ንብረት ጉዳቶች በተለይ ተጋላጭ ናቸው። በተመሳሳይ ጊዜ፣ ሴቶች የአየር ንብረት መቋቋም አቅምን ለማሳደግ ኃይለኛ የለውጥ አምባሳደሮች ሊሆኑ ይችላሉ። የቀድሞ ጥናቶች በቤት እና በማህበረሰብ ደረጃ የጾታ እኩልነት ማሳካት ከማህበረሰብ ልማት፣ ከስነ-ምግብ ልማት እና ከመላመድ ጋር በቀጥታ እንደሚዛመድ በተአምር ያሳያሉ። ይህንን ግንኙነት በተሻለ ለመረዳት እንዴት እንችላለን? እንዲሁም የሴቶችን ኃይል ለማሳደግ እና የአየር ንብረት እና የልማት ውጤቶችን ለማሻሻል ኢንቨስትመንቶችን ወዴት ማድረስ እንችላለን?`, or: `Qo'annoowwan qonnaa dachii darbeefi giddu galeessa qaba dachii Afrikaa fi Aashiyaa keessatti, jijjiirama qilleensaa rakkoo guddaa ta'ee, daldaltoota dubartoota dhibee waliigalaa irratti dhiibbaa akka guddaa qabu. Hojii isaanii guddaa ta'ee yoo ilaalamu, dubartoonni dhibee jijjiirama qilleensaa irratti akkaan harka'u, sababni isaas daangaa qooda qabeenyaa, dachii, fi murtee gochuu kennu dha. Yeroo kana, dubartoonni jijjiirama qilleensaa irra jireenya qabuuf akka dhimmi guddaa ta'uu danda'an. Qorannoon duraanii sirriitti agarsiisa akka walqixxummaa saalaa yeroo manaa fi hawaasaa keessatti danda'ame dhiibbaa guddaa qonnaa, jijjiirama, fi deeggarsa irratti qabu. Akkamitti akka nuti hubannoo kana sirriitti hubannu? Maaliif meeshaa baasii dhimma kanaaf gochuu qabna akka dubartootaaf dandeettiin guddatee, bu'uuraa jijjiirama qilleensaa fi deeggarsa dhiibbaa qabu?`, ti: `ኣብ ክፍለ-ሃገራት ዝወሓደ እንተኾነ ማእከላይ ኣታዊታት ግብሪ ኣብ ውሽጢ ኣፍሪቃን ኤስያን፡ ለውጢ ኣየር ኣዝማምን ከም ባህርያዊ ሓደጋ ይርአ፡ ብዘይ ማዕርነት ኣብ ልዕሊ ሰበይቲ ኣርሶ ኣደራት ይሰርሕ። ውሕበት ምስታይ ከምዝኾነሉን ኣዝዩ ኣገዳሲ ከምዝዀነን እንተኾነ፡ ሰበይቲ ንለውጢ ኣየር ኣዝማምን ዝመጽእ ሓደጋታት ኣዝዮም ተጋላጽዮም ኣለዉ፡ ምኽንያቱ እቲ ምዕሩይ ዝኾነ ልውዋጥ መለለዪ ኣገባብን ማህበራዊ ልሙዳትን ንሃቦም ምስላጥ እዩ። ኣብቲ እዋን እቲ እምበር፡ ሰበይቲ ኣብ ምድልዳል ሓይሊ ምክልኻል ኣየር ኣዝማምን ኣገዳሲ ሰራሕተኛታት ክኸውን ይኽእላ። ካብ ቀደም ዝተገብረ መጽናዕቲታት ኣብ ደረጃ ዓዲን ማሕበርን ማዕርነት ኣኼባ ከምዝርከብ ብተደጋጋሚ የረጋግጽ፡ እዚ ድማ ምስ ዝተሻለ ውጽኢት ግብሪ፡ ምክልኻልን ልምዓትን ብትንፋሽ ይተኣሳሰር። ነዚ ርክብ እዚ ብሉጽ ንኽንርድኦ ብኸመይ ኢና፧ ከምኡውን ነቲ ናይ ሰበይቲ ውዳበ ንምዕባይን ውጽኢት ኣየር ኣዝማምንን ልምዓትን ንምሻም ኣበርክቶታት ኣበይ ክንደይርከቦ ኢና፧`, so: `Qeybaha beeraha ee dalalka dakhliga hoose iyo dhexe, gaar ahaan Afrika iyo Aasiya, isbeddelka cimiladu waa caqabado adag, taas oo saameyn xun ku yeelata beeraha haweenka. Iyagoo door muhiim ah ka ciyaarayaan, haweenku waxay si gaar ah u nugul yihiin xaaladaha cimilada sababtoo ah sinaadad jinsi iyo caadooyin bulsho oo ku xaddida helitaankooda khayraadka, dhulka, iyo go'aansashada. Isla waqtigaas, haweenku waxay noqon karaan wakiilo awood u leh horumarinta adkaynta cimilada-dhaca - daraasadihii hore si joogto ah ayay muujinayaan in gaarista sinaanta jinsiga ee heerka guriga iyo bulshada ay si toos ah ugu xirnaato natiijooyin wanaagsan beeraha, isbeddelka iyo horumarinta. Sidee baan ugu fiican karnaa fahanka xidhiidhkan, iyo meesha aan ugu wadno maalgelinta si aan u kordhino awoodda haweenka si loo wanaajiyo natiijooyinka cimilada iyo horumarinta?`, af: `Asmatah abaanayyo lakatih fayya siyaagah anuk tan digri wagitteh digri anuk, tanih Afrika akah Aasiya, baadaw keenik bari aysuk yan, yab kinni fanal buraa kee xayyo bura keenik asmatta abaanayyo luk yan. Idooliih adda xayyoyseh yan, asmatta abaanayyo baadaw keenik yan xaylo tanih taqaaneek bari keenik, adda tan amol afah mariih afah abaanayyo keenik yan mariih celta keenik, baaxo keenik, akah qidi keenih tani maliih celta keenik. Nammaay keenik, asmatta abaanayyo baadaw keenik yan tamaateh gexxa keenik asmatta anuk adda yan, tan amol aban madqooqih akah mariih celta keenik anuk tamaateeh gexxa keenik. Madqooqih afah abaanayyo akah mariih celta keenik anuk madqooqih tamaateeh gexxa keenih fanal keenik. Namma celta tamaateeh gexxa keenik akah tamaateeh gexxa keenik anuk tamaateeh gexxa keenik. Namma celta tamaateeh gexxa keenik akah tamaateeh gexxa keenik anuk tamaateeh gexxa keenik.` } }, GenderedAfriAG: { title: {en: 'African Agriculture Is Gendered', am: "የአፍሪካ ስነ-ምግብ ልማት በጾታ የተለየ ነው", or: "Qonnaa Afrikaa Saalaan Addaa", ti: "ግብሪ ኣፍሪቃ ብጾታ ይፈላለ", so: "Beeraha Afrika waa Jinsi", af: "Qaraqari Afrika amol keenik yan"}, text: { en: `In Africa, women's participation in agriculture is both extensive and varied, encompassing a wide range of roles from cultivation to market. The experiences, opportunities, and challenges in farming and livestock systems are distinctly different, women are engaged in planting, weeding, harvesting, and processing agricultural products, often taking on the majority of post-harvest activities, including storage, handling, and marketing of crops. The section below highlights how women labor participation varies across different commodities and activity domains.`, am: `በአፍሪካ፣ የሴቶች በስነ-ምግብ ልማት መሳተፍ ሰፊ እና የተለያየ ነው፣ ከማሳደግ እስከ ገበያ ድረስ የተለያዩ ሚናዎችን ያጠቃልላል። በግብርና እና በእንስሳት ስርዓቶች ውስጥ ያሉ ተሞክሮዎች፣ እድሎች እና ፈተናዎች በግልጽ የተለያዩ ናቸው። ሴቶች በመትከል፣ በማጥለቅለቅ፣ በማጨድ እና በማቀነባበር ውስጥ ይሳተፋሉ፣ ብዙውን ጊዜም ከማጨድ በኋላ ያሉ እንቅስቃሴዎችን ይሠራሉ፣ እነዚህም ማከማቸት፣ ማስተናገድ እና ምርቶችን ማሰራጨት ያጠቃልላሉ። ከታች ያለው ክፍል የሴቶች የጉልበት መሳተፍ በተለያዩ የምርት እና የእንቅስቃሴ መስኮች እንዴት እንደሚለያይ ያሳያል።`, or: `Afrikaa keessatti, hirmaannaan dubartootaa qonnaa irratti baayyee guddaa fi adda adda ta'ee, hojiiwwan guddaan kan qabatee fi gama qonnaa hanga sookoo. Muuxannoon, carraan, fi rakkoon qonnaa fi loon ilaalchisee kan adda ta'ee, dubartoonni dhiiga oomisha qonnaa irratti akka tajaajilanii fi gama qonnaa hanga sookoo. Qoodni kun agarsiisa akkaataa hirmaannaan dubartootaa gama qonnaa fi gama hojii irratti adda adda ta'ee.`, ti: `ኣብ ኣፍሪቃ፡ ምስታይ ኣብ ግብሪ ካብ ኣተሓሕዛ ክሳዕ ዕዳጋ ኣብ ዝተፈላለየ ዓይነት ዓይነት ምስታይ ኣብ ግብሪ። ኣብ ስርዓት ግብሪን እንስሳን ዘሎ ተመክሮታት፡ ኣጋጣሚታት፡ ከምኡውን ጸገማት ብፍሉይ ይፈላለ፡ ሰበይቲ ኣብ ዝርከቡ ኣተሓሕዛ፡ ምጽራግ፡ ምብጻሕ፡ ከምኡውን ኣብ ምዕቃብ ዝተፈላለየ ዓይነት ስርሒት ምስታይ ይሳተፉ። እቲ ትሕቲ ዘሎ ክፍሊ ከመይ ከም ዝኾነ ምስታይ ስራሕ ምስታይ ኣብ ዝተፈላለየ ዕዳጋታትን ዓይነት ስራሕን ይሕብር።`, so: `Afrika, ka qayb qaadashada haweenka ee beeruhu waa mid aad u ballaaran oo kala duwan, oo ay ku jiraan doorkeeda kala duwan laga bilaabo beerista ilaa suuqa. Khibradaha, fursadaha, iyo caqabadaha ee nidaamka beeraha iyo xoolaha aad bay u kala duwan yihiin, haweenku waxay ka qayb qaataan beerida, nazarida, goosashada, iyo habaynta alaabta beeraha, inta badan waxay qaataan qayb weyn oo ka mid ah hawlaha ka dambeeya goosashada, oo ay ku jiraan kaydinta, maareynta, iyo suuqgeynta dalagyada. Qaybtan hoose waxay muujinaysaa sida uu u kala duwan yahay ka qayb qaadashada shaqada ee haweenka dhirta iyo meelaha hawlaha.`, af: `Afrika kee, asmatta abaanayyo keenik akah mariih celta keenik tamaateh gexxa keenik, tan amol akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik.` }, LegendScale: { high: {en: "High", am: "ከፍተኛ", or: "Olgodaa", ti: "ለውጢ", so: "Sare", af: "Gexxa"}, low: {en: "Low", am: "ዝቅተኛ", or: "Gadi fagoo", ti: "ትሑት", so: "Hoos", af: "Celta"} }, FemaleParticipationLabor: { title: {en: "Female Participation In Agricultural Labor", am: 'የሴቶች በስነ-ምግብ ልማት ጉልበት መሳተፍ', or: "Hirmaannaan Dubartootaa Hojii Qonnaa Keessatti", ti: "ምስታይ ኣብ ስራሕ ግብሪ", so: "Ka Qayb Qaadashada Haweenka ee Shaqada Beeraha", af: "Asmatta Abaanayyo Tamaateh Gexxa Keenik Akah Mariih Celta Keenik"}, plot: { practices : { "Land Prep." : {en: "Land Prep.", am: "የመሬት አሰካከር", or: "Qophii Lafaa", ti: "ዳግም ምድሪ", so: "Diyaarinta Dhulka", af: "Baaxo Qidi"}, "Planting/Weeding": {en: "Planting/Weeding", am: "መትከል/ማጥለቅለቅ", or: "Biyyeeffannaa/Nazarsuu", ti: "ምትካል/ምጽራግ", so: "Beerida/Nazarida", af: "Tamaateh/Celta"}, Harvesting: {en: "Harvesting", am: "ማጨድ", or: "Baqaqsii", ti: "ምብጻሕ", so: "Goosashada", af: "Gexxa"} } } }, WomenDominate: { title: {en: "Women Dominate Certain Crops", am: "ሴቶች የተወሰኑ አዝዎችን ይቆጣጠራሉ", or: "Dubartoonni Mukkaan adda addaa Murteessu", ti: "ሰበይቲ ንገለ ዓይነት ዕፅ", so: "Haweenku Waxay Ka Talinayaan Dalagyo Gaar Ah", af: "Asmatta Abaanayyo Tamaateh Gexxa Keenik"}, text: { en: `Men predominantly engage in growing cash crops, whereas women focus more on staple and food crops. This division varies across regions, with the female contribution to non-edible crop labor differing notably between countries like Malawi, Uganda, Tanzania, and Nigeria, illustrating these trends are not universally consistent across different geographies.`, am: `ወንዶች በዋነኝነት የገንዘብ አዝዎችን ያበቅላሉ፣ ሴቶች ግን በዋነኝነት በመሠረታዊ እና በምግብ አዝዎች ላይ ያተኩራሉ። ይህ ክፍፍል በክልሎች የተለያየ ነው፣ የሴቶች አስተዋፅዖ ለማይበላ አዝዎች ጉልበት በማላዊ፣ በኡጋንዳ፣ በታንዛኒያ እና በናይጄሪያ የመሳሰሉ አገሮች መካከል በሚያስደንቅ ሁኔታ የሚለያይ በመሆኑ እነዚህ አዝግቶች በተለያዩ ጂኦግራፊዎች ውስጥ አጠቃላይ አለመሆናቸውን ያሳያል።`, or: `Dhirsonni akkaataa guddaan dalagaa qarshii irratti hirmaata, garuu dubartoonni akkaataa guddaan dalagaa mirgaa fi nyaataa irratti xiyyeeffata. Addaan kanaa naannoo adda addaa keessatti adda adda ta'ee, hirmaannaan dubartootaa dalagaa hin nyaatamne gama hojii irratti akkaataa adda addaa ta'ee, akka Malawi, Uganda, Tanzania, fi Nigeria keessatti, kan agarsiisu dalagaan kun naannoo adda addaa keessatti hin tolfanne.`, ti: `ሰብኡት ብዓበይቲ ኣብ ምፍራይ ዕፅ ገንዘብ ይሰርሑ፡ እንተኾነ ሰበይቲ ብዓበይቲ ኣብ መሰረታዊን ምግብን ዕፅ ይተኩራ። እዚ ክፍልታ እዚ ኣብ ዝተፈላለየ ከባቢታት ይፈላለ፡ እቲ ናይ ሰበይቲ ኣበርክቶ ናብ ዘይብላዕ ዕፅ ስራሕ ኣብ ዝተፈላለየ ሃገራት ከም ማላዊ፡ ኡጋንዳ፡ ታንዛንያ፡ ከምኡውን ናይጄሪያ ይፈላለ፡ እዚ ድማ እዞም ኣዝግቶች እዚኣቶም ኣብ ዝተፈላለየ ጂኦግራፍያት ኣጠቓላይ ዘይኮኑ ይሕብር።`, so: `Raggu waxay si weyn uga shaqeeyaan dalagyada lacagta, halka haweenku ay si weyn ugu fiirsadaan dalagyada aasaasiga ah iyo kuwa cuntada. Kala qaybsanaantaani waxay kala duwan tahay gobollada, iyadoo ka qayb qaadashada haweenka ee shaqada dalagyada aan cunnada ahayn ay si cad uga duwan tahay dalka sida Malawi, Uganda, Tanzania, iyo Nigeria, taas oo muujinaysa inaanay hababkani si guud ahaan ugu habboonayn jawiga kala duwan.`, af: `Idooliih tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik, nammaay keenik asmatta abaanayyo tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik.` }, headline: { default: {en:"Across these 6 countries, Women are most involved with the production of **Roots and Tubers** at **42%**. This is worth an estimated **Int$11B**.", am:"በእነዚህ 6 አገሮች ውስጥ ሴቶች በጣም በሚሳተፉት የ**ሥሮች እና የእሸት አዝዎች** ምርት ላይ ነው፣ ይህም **42%** ነው። ይህ በግምት **Int$11B** ዋጋ አለው።", or:"Naannoo 6 kana keessatti, Dubartoonni akkaataa guddaan soorata **Roots and Tubers** irratti **42%** hirmaatu. Kun gatii **Int$11B** ta'ee jira.", ti:"ኣብ እዞም 6 ሃገራት እዚኦም፡ ሰበይቲ ብዓበይቲ ኣብ ፍርዪ **ስሩዕን ኣሕምልትን** ኣብ **42%** ይሳተፉ። እዚ ድማ ብግምት **Int$11B** ዋጋ ኣለዎ።", so:"Inta u dhexeysa 6 dalalkan, haweenku aad bay uga qayb qaadan **xiddigaha iyo dhirta la isku dhejiyo** ee **42%**. Tani waxay le'eg tahay qiyaas ahaan **Int$11B**.", af:"Namma 6 keenik, asmatta abaanayyo tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik."}, valid_hover: { en: `In **:::country:::**, women are **:::involvement:::** involved with **:::cropType:::**, compared to other crops. Women contribute **:::cropPCT:::%** to production of **:::cropType:::**, worth **ind:::cropValue:::**.`, am: `በ**:::country:::**፣ ሴቶች ከሌሎች አዝዎች ጋር ሲነፃፀሩ በ**:::cropType:::** ላይ **:::involvement:::** ይሳተፋሉ። ሴቶች በ**:::cropType:::** ምርት **:::cropPCT:::%** ያበርክታሉ፣ ይህም **ind:::cropValue:::** ዋጋ አለው።`, or: `**:::country:::** keessatti, dubartoonni **:::involvement:::** dalagaa **:::cropType:::** irratti hirmaatu, dalagaa biroo waliin walitti ilaalan. Dubartoonni **:::cropPCT:::%** soorata **:::cropType:::** irratti dabarsu, gatii **ind:::cropValue:::** ta'ee.`, ti: `ኣብ **:::country:::**፡ ሰበይቲ **:::involvement:::** ኣብ **:::cropType:::** ይሳተፉ፡ ንኻልእ ዕፅ ምስ እተነፃፀረ። ሰበይቲ **:::cropPCT:::%** ናብ ፍርዪ **:::cropType:::** ይበርክቱ፡ ዋጋ **ind:::cropValue:::** ኣለዎ።`, so: `**:::country:::**, haweenku waxay **:::involvement:::** uga qayb qaadaan **:::cropType:::**, marka loo eego dalagyada kale. Haweenku waxay ku biiraan **:::cropPCT:::%** soo saarista **:::cropType:::**, taas oo leh qiimo **ind:::cropValue:::**.`, af: `**:::country:::**, asmatta abaanayyo **:::involvement:::** tamaateh gexxa keenik akah mariih celta keenik **:::cropType:::**. Asmatta abaanayyo **:::cropPCT:::%** tamaateh gexxa keenik akah mariih celta keenik **:::cropType:::**, tamaateh gexxa keenik **ind:::cropValue:::**.` }, null_hover: { en: `There is no data for women involvement in **:::country:::** for **:::cropType:::**`, am: `ለ**:::country:::** በ**:::cropType:::** ላይ የሴቶች መሳተፍ ውሂብ የለም።`, or: `**:::country:::** keessatti, dubartootaa dalagaa **:::cropType:::** irratti hirmaannaan hin jiru.`, ti: `ውሂብ ንምስታይ ኣብ **:::country:::** ን **:::cropType:::** የለን።`, so: `Ma jiro xog ka qayb qaadashada haweenka **:::country:::** ee **:::cropType:::**.`, af: `Xaylo **:::country:::** tamaateh gexxa keenik **:::cropType:::** ma keenik.` } } }, FemaleParticipationCrops: { title: {en: "Female Participation In The Production Of Crops", am: 'የሴቶች በአዝዎች ምርት መሳተፍ', or: "Hirmaannaan Dubartootaa Soorata Dalagaa Keessatti", ti: "ምስታይ ኣብ ፍርዪ ዕፅ", so: "Ka Qayb Qaadashada Haweenka ee Soo Saarista Dalagyada", af: "Asmatta Abaanayyo Tamaateh Gexxa Keenik Akah Mariih Celta Keenik"}, plot: { crops: { "Cereals" : {en: "Cereals", am: "እህሎች", or: "Cereals", ti: "ስንዴ", so: "Hadhuudh", af: "Cereals"}, "Legumes" : {en: "Legumes", am: "ጥቅል አዝዎች", or: "Legumes", ti: "ምስር", so: "Digir", af: "Legumes"}, "Roots & Tubers" : {en: "Roots & Tubers", am: "ሥሮች እና እሸቶች", or: "Roots & Tubers", ti: "ስሩዕን ኣሕምልትን", so: "Xiddigaha iyo Dhirta", af: "Roots & Tubers"}, "Fruits & Vegetables" : {en: "Fruits & Vegetables", am: "ፍራፍሬዎች እና አትክልቶች", or: "Fruits & Vegetables", ti: "ፍረታትን ኣትክልትን", so: "Khudaarta iyo Miraha", af: "Fruits & Vegetables"}, "Non-edible crops" : {en: "Non-edible crops", am: "ማይበሉ አዝዎች", or: "Non-edible crops", ti: "ዘይብላዕ ዕፅ", so: "Dalagyada Aan Cunada Ahayn", af: "Non-edible crops"} } } }, }, GenderInvestments: { title: {en: "Need For Gender-Inclusive Investments", am: "የጾታ-አጠቃላይ ኢንቨስትመንቶች አስፈላጊነት", or: "Fedhii Saala-Waliigalaa", ti: "ፍለጣ ንጾታ-ኣጠቃላይ ኢንቨስትመንት", so: "U Baahan Kaashadaan Jinsi Oo Dhan", af: "Raadi Amol-Aban Madqooqih"}, text: { en: `The adaptive capacity of women in agriculture varies significantly due to factors such as socio-economic status, education, access to resources, and systemic barriers. Female empowerment and wellbeing metrics reveal the disparities women face in areas such as employment, income, health, and leadership. These indicators highlight the multifaceted nature of women's vulnerability, demonstrating variations in their access to opportunities, resources, and autonomy.`, am: `የሴቶች መላመድ አቅም በማህበራዊ-ኢኮኖሚያዊ ሁኔታ፣ ትምህርት፣ ሀብት መድረስ እና ስርዓታዊ እክሎች የመሳሰሉ ምክንያቶች በመኖራቸው በከፍተኛ ሁኔታ ይለያያል። የሴት ኃይለኛነት እና ደህንነት መለኪያዎች ሴቶች በሥራ፣ በገቢ፣ በጤና እና በመሪነት ወዘተ መስኮች ውስጥ የሚጋጡትን አለመመጣጠን ያሳያሉ። እነዚህ አመላካቾች የሴቶችን ተጋላጭነት ባለብዙ ገጽታ በሆነ ተፈጥሮ ያሳያሉ፣ በእድሎቻቸው፣ በሀብቶቻቸው እና በገለልተኝነታቸው ላይ ያሉ ልዩነቶችን የሚያሳዩ ናቸው።`, or: `Dandeettii dubartootaa qonnaa irratti adda adda ta'ee, sababni isaas haala qabeenyaa, barumsaa, qabeenya dhaqaaqaa, fi daangaa dhaabbataa. Dandeettii dubartootaa fi qabsiifannii dhiibbaa isaanii qabsiifatu, akkaataa isaanii hojii, galii, fayyaa, fi hoggansa keessatti adda adda ta'ee. Ibsaaleen kun agarsiisa akkaataa dubartootaa dandeettii isaanii keessatti adda adda ta'ee, kan agarsiisu dandeettii isaanii carraa, qabeenya, fi ofii ofii irratti.`, ti: `ምክልኻል ናይ ሰበይቲ ኣብ ግብሪ ብሓፈሻ ኢኮኖሚያዊ ደረጃ፡ ትምህርቲ፡ ምስላጥ ሃብቲ፡ ከምኡውን ስርዓታዊ ዓቕሚ ይፈላለ። ሓይሊ ሰበይቲን ደሓንነትን መለክዒታት ንምስታይ ኣብ ከባቢታት ከም ስራሕ፡ ኣታዊ፡ ጥዕና፡ ከምኡውን መራሕቲነት ዘሎ ዝተፈላለየ ዓይነት ይሕብሩ። እዞም ኣመልካቺታት እዚኦም ንምስታይ ዘለዎም ተጋላጽነት ብብዙሕ ገጻት ይሕብሩ፡ ኣብ ኣጋጣሚታቶም፡ ሃብቶም፡ ከምኡውን ርእሰ-ምሕታቶም ዘሎ ፍልልይ የርእዩ።`, so: `Awoodda isbeddelka ee haweenka beeruhu aad bay u kala duwan tahay sababtoo ah astaamo sida xaaladda dhaqaale-bulsho, waxbarashada, helitaanka khayraadka, iyo caqabadaha nidaamka. Tilmaamaha awoodsiinta iyo wanaaga haweenka waxay muujinayaan kala duwanaanshaha ay haweenku la kulmaan aagaga sida shaqo, dakhliga, caafimaadka, iyo hogaanka. Tilmaamahan waxay si cad u muujiyaan qaabka kala duwanaanshaha ee nugulnaanta haweenka, iyagoo muujinaya kala duwanaanshaha helitaankooda fursadaha, khayraadka, iyo madaxbanaanida.`, af: `Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik.` }, GenderIndex: { title: {en: "Average Index Scores Across Female Empowerment Domains", am: "በሴት ኃይለኛነት መስኮች ላይ ያለው አማካይ የኢንዴክስ ነጥብ", or: "Qooda Indeksii Waliigalaa Kaaba Female Empowerment Domains", ti: "ማእከላይ ነጥብ ኣብ ዓውዲ ሓይሊ ሰበይቲ", so: "Qiimaha Indeksiga ee Dhexdhexaadka Aagaga Awoodsiinta Haweenka", af: "Raadi Amol-Aban Madqooqih Tamaateh Gexxa Keenik"}, plot: { title_X: {en : "Female Well-being and Empowerment (0-1)", am: "የሴቶች ደህንነት እና ኃይለኛነት (0-1)", or: "Female Well-being and Empowerment (0-1)", ti: "ደሓንነት ሰበይቲን ሓይሊን (0-1)", so: "Wanaaga iyo Awoodsiinta Haweenka (0-1)", af: "Asmatta Abaanayyo Tamaateh Gexxa Keenik (0-1)"}, domains: { "empowerment_index" : {en: "Empowerment Index", am: "የኃይለኛነት ኢንዴክስ", or: "Empowerment Index", ti: "ኢንዴክስ ሓይሊ", so: "Indeksiga Awoodsiinta", af: "Empowerment Index"}, "decisions" : {en: "Decision Making", am: "ውሳኔ ማሰብ", or: "Decision Making", ti: "ምውሳን", so: "Qaadashada Go'aamada", af: "Decision Making"}, "domestic_violence" : {en: "Domestic Safety", am: "የቤት ውስጥ ደህንነት", or: "Domestic Safety", ti: "ደሓንነት ገዛ", so: "Aminaadka Guri", af: "Domestic Safety"}, "education" : {en: "Education", am: "ትምህርት", or: "Education", ti: "ትምህርቲ", so: "Waxbarashada", af: "Education"}, "employment" : {en: "Employment", am: "ሥራ", or: "Employment", ti: "ስራሕ", so: "Shaqada", af: "Employment"}, "family_planning" : {en: "Family Planning", am: "የቤተሰብ እቅድ", or: "Family Planning", ti: "ቅዳሴ ስድራቤት", so: "Qorshaha Qoyska", af: "Family Planning"}, "reproductive_health" : {en:"Reproductive Health", am: "የወሊድ ጤና", or:"Reproductive Health", ti:"ጥዕና ምውሳድ", so:"Caafimaadka Taranka", af:"Reproductive Health"} } } } }, GenderHotspots: { title: {en: "Gendered Climate Hotspots", am: "በጾታ የተለዩ የአየር ንብረት ሞቃት ነጥቦች", or: "Gendered Climate Hotspots", ti: "ጾታዊ ክሊማ ሞቃት ነጥብ", so: "Meelaha Kulaylka Cimilada ee Jinsiga", af: "Gendered Climate Hotspots"}, text: { en: `Climate change can act as a risk amplifier and further exacerbate the gendered differences and outcomes for women in agriculture. The map below shows the intersection of projected risk from heat stress and exposure based on women participation in agriculture, showing critical hotspots. It can also be used to explore the intersection of risk from heat stress and variables related to female well-being and empowerment, identifying areas where existing gender disparities amplify the risk. These results highlight the need for targeted interventions especially in the hotspot areas, to support women in agriculture, and help them adapt to climate risk.`, am: `የአየር ንብረት ለውጥ እንደ አደጋ አሻራ ሆኖ ሊሠራ ይችላል እና በስነ-ምግብ ልማት ላይ ለሚገኙ ሴቶች ያሉ የጾታ ልዩነቶችን እና ውጤቶችን ሊያሳድድ ይችላል። ከታች ያለው ካርታ በሴቶች በስነ-ምግብ ልማት መሳተፍ ላይ በመመርኮዝ ከሙቀት ጫና እና ከገጠመኝነት የሚፈጠረውን የተጠበቀ አደጋ መገናኛ ያሳያል፣ አስፈላጊ የሆኑትን ሞቃት ነጥቦች ያሳያል። እንዲሁም ከሙቀት ጫና አደጋ እና ከሴት ደህንነት እና ኃይለኛነት ጋር የተያያዙ ተለዋዋጮች መገናኛን ለመፈተሽ ሊያገለግል ይችላል፣ በዚህም የሚኖሩት የጾታ አለመመጣጠን አደጋውን የሚያሳድድባቸውን አካባቢዎች ለመለየት ይረዳል። እነዚህ ውጤቶች በተለይም በሞቃት ነጥብ አካባቢዎች ውስጥ ተመራጭ ጣልቃ ገብነቶች አስፈላጊነትን ያሳያሉ፣ ይህም በስነ-ምግብ ልማት ላይ ለሚገኙ ሴቶች ድጋፍ ለማድረግ እና ከአየር ንብረት አደጋ ጋር እንዲላመዱ ለማድረግ ይረዳል።`, or: `Jijjiirama qilleensaa dhibee guddaa ta'ee, dhibee dubartootaa qonnaa irratti guddaa ta'ee dhiibbaa qabu. Kaartaan kun agarsiisa akkaataa dhibee qilleensaa irratti hirmaannaan dubartootaa qonnaa irratti kan adda ta'ee, kan agarsiisu dhibee qilleensaa irratti hirmaannaan dubartootaa qonnaa irratti. Kunis dandeettii dubartootaa qonnaa irratti dhiibbaa qabuuf dandeettii isaanii keessatti adda adda ta'ee dhiibbaa qabu. Kanaaf, dhibee qilleensaa irratti hirmaannaan dubartootaa qonnaa irratti dhiibbaa qabuuf dandeettii isaanii keessatti adda adda ta'ee dhiibbaa qabu.`, ti: `ለውጢ ኣየር ኣዝማምን ከም ሓደጋ ኣማራጽ ክሰርሕ ይኽእል እዩ፡ ኣብ ግብሪ ንምስታይ ዘሎ ዝተፈላለየ ጾታዊ ፍልልይን ውጽኢትን ከዝሕል ይኽእል እዩ። እታ ትሕቲ ዘላ ካርታ ንምስታይ ኣብ ግብሪ ምስታይ ኣብ ዝተፈላለየ ጾታዊ ፍልልይ ከም ዝኾነ ምስታይ ኣብ ግብሪ ምስታይ ኣብ ዝተፈላለየ ጾታዊ ፍልልይ ከም ዝኾነ ይሕብር። እዚ እውን ከም ዝኾነ ምስታይ ኣብ ግብሪ ምስታይ ኣብ ዝተፈላለየ ጾታዊ ፍልልይ ከም ዝኾነ ይሕብር። እዞም ውጽኢታት እዚኦም ኣብ ሞቃት ነጥብ ከባቢታት ተመራጽ ምትእትታው ኣገዳሲ ከም ዝዀነ ይሕብሩ፡ ኣብ ግብሪ ንምስታይ ደገፍ ንምቕራብን ንምክልኻል ሓደጋ ኣየር ኣዝማምን ንምሕጋዝን።`, so: `Isbeddelka cimiladu wuxuu noqon karaa wax lagu kordhiyo khatarta, waxaana sii dheeraadin karaa kala duwanaanshaha jinsiga iyo natiijooyinka haweenka beeraha. Khariidadan hoose waxay muujinaysaa isdhexgalka khatarta la filayo oo ka timaadda cadaadiska kulaylka iyo soo gaadhista iyadoo lagu salaynayo ka qayb qaadashada haweenka beeraha, iyadoo lagu muujinayo meelaha muhiimka ah. Waxaa kaloo loo isticmaali karaa baaritaanka isdhexgalka khatarta ka timaadda cadaadiska kulaylka iyo doorsoomayaasha la xiriira wanaaga iyo awoodsiinta haweenka, iyadoo lagu aqoonsanayo meelaha ay ku kala duwan yihiin sinaadada jinsiga oo khatarta sii kordhiya. Natiijooyinkan waxay si cad u muujiyaan baahida ay leedahay tallaabooyin gaar ah gaar ahaan meelaha kulaylka ah, si loo taageero haweenka beeraha, loona caawiyo inay u habboonaadaan khatarta cimilada.`, af: `Baadaw keenik bari aysuk yan, yab kinni fanal buraa kee xayyo bura keenik asmatta abaanayyo luk yan. Idooliih adda xayyoyseh yan, asmatta abaanayyo baadaw keenik yan xaylo tanih taqaaneek bari keenik, adda tan amol afah mariih afah abaanayyo keenik yan mariih celta keenik, baaxo keenik, akah qidi keenih tani maliih celta keenik. Nammaay keenik, asmatta abaanayyo baadaw keenik yan tamaateh gexxa keenik asmatta anuk adda yan, tan amol aban madqooqih akah mariih celta keenik anuk tamaateeh gexxa keenik. Madqooqih afah abaanayyo akah mariih celta keenik anuk madqooqih tamaateeh gexxa keenik. Namma celta tamaateeh gexxa keenik akah tamaateeh gexxa keenik anuk tamaateeh gexxa keenik. Namma celta tamaateeh gexxa keenik akah tamaateeh gexxa keenik anuk tamaateeh gexxa keenik.` }, selectors: { heatHazard: { title : {en: "Heat Hazard", am: "የሙቀት አደጋ", or: "Heat Hazard", ti: "ሓደጋ ሙቀት", so: "Khatarta Kulaylka", af: "Heat Hazard"}, hazards: { human: {en : "Human", am: "ሰው", or: "Human", ti: "ሰብ", so: "Insaan", af: "Human"}, crop: {en : "Crop", am: "አዝዎች", or: "Crop", ti: "ዕፅ", so: "Dalag", af: "Crop"}, livestock: {en : "Livestock", am: "እንስሳት", or: "Livestock", ti: "እንስሳ", so: "Xoolaha", af: "Livestock"}, } }, GenderVar: { title : {en: "Gender Variable", am: "የጾታ ተለዋዋጭ", or: "Gender Variable", ti: "ጾታዊ ተለዋዋጭ", so: "Doorsoomaha Jinsiga", af: "Gender Variable"}, domains: { "women_in_agric" : {en: "Women Involved in Agriculture", am: "በስነ-ምግብ ልማት ውስጥ የሚሳተፉ ሴቶች", or: "Women Involved in Agriculture", ti: "ሰበይቲ ኣብ ግብሪ ዘለዉ", so: "Haweenka Ka Qayb Qaata Beeraha", af: "Women Involved in Agriculture"}, "empowerment_index" : {en: "Empowerment Index", am: "የኃይለኛነት ኢንዴክስ", or: "Empowerment Index", ti: "ኢንዴክስ ሓይሊ", so: "Indeksiga Awoodsiinta", af: "Empowerment Index"}, "decisions" : {en: "Decision Making", am: "ውሳኔ ማሰብ", or: "Decision Making", ti: "ምውሳን", so: "Qaadashada Go'aamada", af: "Decision Making"}, "domestic_violence" : {en: "Domestic Safety", am: "የቤት ውስጥ ደህንነት", or: "Domestic Safety", ti: "ደሓንነት ገዛ", so: "Aminaadka Guri", af: "Domestic Safety"}, "education" : {en: "Education", am: "ትምህርት", or: "Education", ti: "ትምህርቲ", so: "Waxbarashada", af: "Education"}, "employment" : {en: "Employment", am: "ሥራ", or: "Employment", ti: "ስራሕ", so: "Shaqada", af: "Employment"}, "family_planning" : {en: "Family Planning", am: "የቤተሰብ እቅድ", or: "Family Planning", ti: "ቅዳሴ ስድራቤት", so: "Qorshaha Qoyska", af: "Family Planning"}, "reproductive_health" : {en:"Reproductive Health", am: "የወሊድ ጤና", or:"Reproductive Health", ti:"ጥዕና ምውሳድ", so:"Caafimaadka Taranka", af:"Reproductive Health"} } } }, plot : { heatLabels: { human: {en: "Human Heat Stress", am: "የሰው ሙቀት ጫና", or: "Human Heat Stress", ti: "ሙቀት ሰብ", so: "Cadaadiska Kulaylka Insaanka", af: "Human Heat Stress"}, crop: {en: "Crop Heat Stress", am: "የአዝዎች ሙቀት ጫና", or: "Crop Heat Stress", ti: "ሙቀት ዕፅ", so: "Cadaadiska Kulaylka Dalagyada", af: "Crop Heat Stress"}, livestock: {en: "Livestock Heat Stress", am: "የእንስሳት ሙቀት ጫና", or: "Livestock Heat Stress", ti: "ሙቀት እንስሳ", so: "Cadaadiska Kulaylka Xoolaha", af: "Livestock Heat Stress"}, } }, dynamicInsight_womenInAgri: { en: `Across **:::country:::**, **:::highest_gender:::** has the **highest** number of women working in agriculture and **:::HS_level:::** levels of :::heatstress_var:::. **:::highest_hs:::** has the **highest** levels of :::heatstress_var::: and **:::AC_level:::** number of women working in agriculture. These may be areas where women face the greatest risk from climate change.`, am: `በ**:::country:::** ሁሉ፣ **:::highest_gender:::** በስነ-ምግብ ልማት ውስጥ የሚሠሩ ሴቶች **ከፍተኛ** ቁጥር አለው እና **:::HS_level:::** ደረጃ ያለው :::heatstress_var::: አለው። **:::highest_hs:::** ደግሞ **ከፍተኛ** ደረጃ ያለው :::heatstress_var::: እና **:::AC_level:::** ቁጥር ያላቸው በስነ-ምግብ ልማት የሚሠሩ ሴቶች አሉት። እነዚህ ሴቶች ከአየር ንብረት ለውጥ ትልቁን አደጋ ሊጋጡባቸው የሚችሉ አካባቢዎች ሊሆኑ ይችላሉ።`, or: `**:::country:::** keessatti, **:::highest_gender:::** **olfaa** ta'ee dubartootaa qonnaa irratti hojjetanii **:::HS_level:::** dandeettii :::heatstress_var::: qaba. **:::highest_hs:::** **olfaa** ta'ee dandeettii :::heatstress_var::: fi **:::AC_level:::** ta'ee dubartootaa qonnaa irratti hojjetanii qaba. Kun meeshaa dubartoonni dhibee qilleensaa irraa guddaa ta'ee dhiibbaa qabanii ta'uu danda'a.`, ti: `ኣብ **:::country:::** ኩሉ፡ **:::highest_gender:::** **ልዑል** ቁጽሪ ሰበይቲ ኣብ ግብሪ ዝሰርሓ ኣለዎ፡ **:::HS_level:::** ደረጃ :::heatstress_var::: ኣለዎ። **:::highest_hs:::** **ልዑል** ደረጃ :::heatstress_var::: ኣለዎ፡ **:::AC_level:::** ቁጽሪ ሰበይቲ ኣብ ግብሪ ዝሰርሓ ኣለዎ። እዚ ድማ እተን ሰበይቲ ካብ ለውጢ ኣየር ኣዝማምን ዝሓልፍ ዓቢ ሓደጋ ክጋጥማ ዝኽእላ ከባቢታት ክኸውን ይኽእል እዩ።`, so: `Inta u dhexeysa **:::country:::**, **:::highest_gender:::** wuxuu leeyahay **ugu badan** tirada haweenka ka shaqeeya beeraha iyo **:::HS_level:::** heerka :::heatstress_var:::. **:::highest_hs:::** wuxuu leeyahay **ugu sarreeya** heerka :::heatstress_var::: iyo **:::AC_level:::** tirada haweenka ka shaqeeya beeraha. Kuwaasi waxay noqon karaan meelaha ay haweenku la kulmaan khatarta ugu weyn ee ka timaadda isbeddelka cimilada.`, af: `**:::country:::**, **:::highest_gender:::** tamaateh gexxa keenik **highest** akah mariih celta keenik asmatta abaanayyo tamaateh gexxa keenik **:::HS_level:::** tamaateh gexxa keenik :::heatstress_var:::. **:::highest_hs:::** tamaateh gexxa keenik **highest** tamaateh gexxa keenik :::heatstress_var::: akah **:::AC_level:::** tamaateh gexxa keenik asmatta abaanayyo tamaateh gexxa keenik. Tamaateh gexxa keenik asmatta abaanayyo tamaateh gexxa keenik.` }, dynamicInsight_FEMI: { en: `Across **:::country:::**, **:::highest_gender:::** has the **lowest** levels of :::gender_var::: for women and **:::HS_level:::** levels of :::heatstress_var:::. **:::highest_hs:::** has the **highest** levels of **:::heatstress_var:::** and **:::AC_level:::** levels of :::gender_var::: for women. These may be areas where women have a lower ability to adapt to climate heat stresses.`, am: `በ**:::country:::** ሁሉ፣ **:::highest_gender:::** ለሴቶች ያለው :::gender_var::: **ዝቅተኛ** ደረጃ አለው እና **:::HS_level:::** ደረጃ ያለው :::heatstress_var::: አለው። **:::highest_hs:::** ደግሞ **ከፍተኛ** ደረጃ ያለው **:::heatstress_var:::** እና **:::AC_level:::** ደረጃ ያለው :::gender_var::: ለሴቶች አለው። እነዚህ ሴቶች ለአየር ንብረት ሙቀት ጫናዎች ዝቅተኛ የመላመድ አቅም ሊኖራቸው የሚችሉ አካባቢዎች ሊሆኑ ይችላሉ።`, or: `**:::country:::** keessatti, **:::highest_gender:::** **gadi fagoo** ta'ee dandeettii :::gender_var::: dubartootaaf **:::HS_level:::** dandeettii :::heatstress_var::: qaba. **:::highest_hs:::** **olfaa** ta'ee dandeettii **:::heatstress_var:::** fi **:::AC_level:::** ta'ee dandeettii :::gender_var::: dubartootaaf qaba. Kun meeshaa dubartoonni dandeettii isaanii qilleensaa irraa gadi fagoo ta'ee dhiibbaa qabanii ta'uu danda'a.`, ti: `ኣብ **:::country:::** ኩሉ፡ **:::highest_gender:::** **ትሑት** ደረጃ :::gender_var::: ንሰበይቲ ኣለዎ፡ **:::HS_level:::** ደረጃ :::heatstress_var::: ኣለዎ። **:::highest_hs:::** **ልዑል** ደረጃ **:::heatstress_var:::** ኣለዎ፡ **:::AC_level:::** ደረጃ :::gender_var::: ንሰበይቲ ኣለዎ። እዚ ድማ እተን ሰበይቲ ንሙቀት ጫና ኣየር ኣዝማምን ዝቐንዐ ምክልኻል ኣቅም ክህልወን ዝኽእል ከባቢታት ክኸውን ይኽእል እዩ።`, so: `Inta u dhexeysa **:::country:::**, **:::highest_gender:::** wuxuu leeyahay **ugu hooseeya** heerka :::gender_var::: ee haweenka iyo **:::HS_level:::** heerka :::heatstress_var:::. **:::highest_hs:::** wuxuu leeyahay **ugu sarreeya** heerka **:::heatstress_var:::** iyo **:::AC_level:::** heerka :::gender_var::: ee haweenka. Kuwaasi waxay noqon karaan meelaha ay haweenku leeyihiin awood hoose oo loogu habboon yahay inay u qalajiyaan cadaadisyada kulaylka cimilada.`, af: `**:::country:::**, **:::highest_gender:::** tamaateh gexxa keenik **lowest** tamaateh gexxa keenik :::gender_var::: asmatta abaanayyo tamaateh gexxa keenik **:::HS_level:::** tamaateh gexxa keenik :::heatstress_var:::. **:::highest_hs:::** tamaateh gexxa keenik **highest** tamaateh gexxa keenik **:::heatstress_var:::** akah **:::AC_level:::** tamaateh gexxa keenik :::gender_var::: asmatta abaanayyo tamaateh gexxa keenik. Tamaateh gexxa keenik asmatta abaanayyo tamaateh gexxa keenik.` }, dynamicLevels: { low: {en: "low", am: "ዝቅተኛ", or: "gadi fagoo", ti: "ትሑት", so: "hoose", af: "low"}, moderate: {en: "moderate", am: "መካከለኛ", or: "giddu galeessa", ti: "መካከለኛ", so: "dhexdhexaad", af: "moderate"}, high: {en: "high", am: "ከፍተኛ", or: "olfaa", ti: "ልዑል", so: "sare", af: "high"}, }, domains: { "women_in_agric" : {en: "women involved in agriculture", am: "በስነ-ምግብ ልማት ውስጥ የሚሳተፉ ሴቶች", or: "dubartootaa qonnaa irratti hirmaatan", ti: "ሰበይቲ ኣብ ግብሪ ዘለዉ", so: "haweenka ka qayb qaata beeraha", af: "women involved in agriculture"}, "empowerment_index" : {en: "empowerment Index", am: "የኃይለኛነት ኢንዴክስ", or: "empowerment Index", ti: "ኢንዴክስ ሓይሊ", so: "indeksiga awoodsiinta", af: "empowerment Index"}, "decisions" : {en: "decision making", am: "ውሳኔ ማሰብ", or: "decision making", ti: "ምውሳን", so: "qaadashada go'aamada", af: "decision making"}, "domestic_violence" : {en: "domestic safety", am: "የቤት ውስጥ ደህንነት", or: "domestic safety", ti: "ደሓንነት ገዛ", so: "aminaadka guri", af: "domestic safety"}, "education" : {en: "education", am: "ትምህርት", or: "education", ti: "ትምህርቲ", so: "waxbarashada", af: "education"}, "employment" : {en: "employment", am: "ሥራ", or: "employment", ti: "ስራሕ", so: "shaqada", af: "employment"}, "family_planning" : {en: "family planning", am: "የቤተሰብ እቅድ", or: "family planning", ti: "ቅዳሴ ስድራቤት", so: "qorshaha qoyska", af: "family planning"}, "reproductive_health" : {en:"reproductive health", am: "የወሊድ ጤና", or:"reproductive health", ti:"ጥዕና ምውሳድ", so:"caafimaadka taranka", af:"reproductive health"} } }, BridgeGap: { title: {en: "Bridging The Gender Gap: From Hotspots To Solutions", am: "የጾታ ክፍተት ማጠጋጋት፡ ከሞቃት ነጥቦች ወደ መፍትሄዎች", or: "Bridging The Gender Gap: From Hotspots To Solutions", ti: "ምስጋጋር ጾታ ክፍተት: ካብ ሞቃት ነጥብ ናብ መፍትሒ", so: "Bridjinta Farqiga Jinsiga: Laga Meelaha Kulaylka Ilaa Xallinta", af: "Bridging The Gender Gap: From Hotspots To Solutions"}, text: { en: `Climate-focused adaptation strategies, by including gender-responsive approaches, can significantly enhance women's empowerment and hasten the progress toward achieving broader developmental goals. These interventions can not only foster gender equality but also catalyze sustainable development across multiple dimensions, ensuring that climate actions are both inclusive and equitable. The table below provides evidence on how adaptation solutions inform gender outcomes.`, am: `በአየር ንብረት ላይ ያተኮሩ የመላመድ ስትራቴጂዎች፣ የጾታ አገባብ ዘዴዎችን በማካተት፣ የሴቶችን ኃይለኛነት በከፍተኛ ሁኔታ ሊያሻሽሉ እና ወደ ሰፊ የልማት ግቦች ለማሳካት ያለውን እድገት ሊያፋጥኑ ይችላሉ። እነዚህ ጣልቃ ገብነቶች የጾታ እኩልነትን ሊያበረታቱ ብቻ ሳይሆን በብዙ ገጽታዎች ዘላቂ ልማትን ሊያፋጥኑ ይችላሉ፣ ይህም የአየር ንብረት እርምጃዎች ሁለቱም አጠቃላይ እና እኩል እንዲሆኑ ያረጋግጣል። ከታች ያለው ሰንጠረዥ የመላመድ መፍትሄዎች የጾታ ውጤቶችን እንዴት እንደሚያሳዩ ማስረጃ ይሰጣል።`, or: `Strategiiwwan qilleensaa irratti xiyyeeffannaa, akkaataa saalaa irratti hirmaannaan qabuun, dandeettii dubartootaa guddaa ta'ee, deeggarsa guddaa ta'ee, fi deeggarsa guddaa ta'ee. Haala kanaan, dandeettii dubartootaa guddaa ta'ee, deeggarsa guddaa ta'ee, fi deeggarsa guddaa ta'ee. Kanaaf, strategiiwwan qilleensaa irratti xiyyeeffannaa, akkaataa saalaa irratti hirmaannaan qabuun, dandeettii dubartootaa guddaa ta'ee, deeggarsa guddaa ta'ee, fi deeggarsa guddaa ta'ee.`, ti: `ስትራቴጂታት ኣተኩሮ ኣብ ለውጢ ኣየር ኣዝማምን፡ ብምእታው ጾታዊ ኣገባብ ዘዴታት፡ ንሓይሊ ሰበይቲ ኣዝማምን ከዝሕል ይኽእል እዩ፡ ከምኡውን ናብ ሰፊሕ ዓላማታት ልምዓት ንምብጻሕ እድገት ከውሕጅ ይኽእል እዩ። እዞም ምትእትታው ኣይኮኑን ጥራይ ንጾታ እኩልነት የበርትዑ፡ ይኹን እምበር ኣብ ብዙሕ ኣቅጣጫታት ዘላቂ ልምዓት የውህጁ፡ እዚ ድማ ንሓደጋታት ኣየር ኣዝማምን ኣጠቃላይን እኩልን ከም ዝኾኑ የረጋግጽ። እታ ትሕቲ ዘላ �ኣወዳድራ ብኸመይ ከም ዝኾነ መፍትሒታት ኣገባብ ጾታዊ ውጽኢት የርእያ።`, so: `Hababka isbeddelka ee diiradda saaran cimilada, iyadoo la darsado hababka jinsi-ka-jawaabaya, waxay si weyn u kordhin karaan awoodsiinta haweenka oo si dhakhso leh u hirgeli karaan horumarka lagu gaarayo hambalyo horumar oo dheeraad ah. Tallabooyinkan ma ahan oo keliya kuwo kor u qaada sinaanta jinsiga, balse waxay kaloo dhiiri gelin karaan horumar joogto ah oo ku faafan dhinacyo badan, iyagoo hubinaya in ficilada cimiladu ay yihiin mid wadajir ah oo sinnaan ah. Shaxda hoose waxay bixisaa caddayn ku saabsan sida xalliyada isbeddelka ugu xilsaaran natiijooyinka jinsiga.`, af: `Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik.` }, selector: { title: {en: "Adaptation Option", am: "የመላመድ ምርጫ", or: "Adaptation Option", ti: "ምርጫ ምክልኻል", so: "Ikhtiyaarka Isbeddelka", af: "Adaptation Option"}, options: { "Financial mechanisms and knowldege management": { en: "Financial mechanisms and knowldege management", am: "የፋይናንስ ሜካኒዝሞች እና የእውቀት አስተዳደር", or: "Financial mechanisms and knowldege management", ti: "ሜካኒዝም ፋይናንስን ምምሕዳር ፍልጠትን", so: "Qaababka Maaliyadeed iyo Maareynta Aqoonta", af: "Financial mechanisms and knowldege management" }, "Migration": {en: "Migration", am: "ስደት", or: "Migration", ti: "ስደተኛ", so: "Qaxooti", af: "Migration"}, "Natural resource management": { en: "Natural resource management", am: "የተፈጥሮ ሀብት አስተዳደር", or: "Natural resource management", ti: "ምምሕዳር ሃብቲ ተፈጢሩ", so: "Maareynta Khayraadka Dabiiciga ah", af: "Natural resource management"}, "Biodiversity conversation": {en: "Biodiversity conversation", am: "የባዮ-ዲየቭርሲቲ ጥበቃ", or: "Biodiversity conversation", ti: "ውድብ ባዮ-ዲየቭርሲቲ", so: "Wada hadalka Kala duwanaanshaha Noole", af: "Biodiversity conversation"}, "Livelihood diversification": { en: "Livelihood diversification", am: "የመኖርያ ሁኔታ ማሟያ", or: "Livelihood diversification", ti: "ምምሕያሽ መኖርያ ሁኔታ", so: "Kala duwanaanshaha Nolosha", af: "Livelihood diversification"}, } }, table: { headings : { "Sector": {en: "Sector", am: "ዘርፍ", or: "Sector", ti: "ዘርፍ", so: "Qaybta", af: "Sector"}, "Gender Outcome Score" : {en: "Gender Outcome Score", am: "የጾታ ውጤት ነጥብ", or: "Gender Outcome Score", ti: "ነጥብ ውጽኢት ጾታ", so: "Qiimaha Natiijada Jinsiga", af: "Gender Outcome Score"}, "Geography": {en: "Geography", am: "ጂኦግራፊ", or: "Geography", ti: "ጂኦግራፊ", so: "Juqraafiga", af: "Geography"}, "Confidence in Result" : {en: "Confidence in Result", am: "በውጤቱ ላይ ታማኝነት", or: "Confidence in Result", ti: "ርእሰ-ምስማር ውጽኢት", so: "Kalsoonida Natiijada", af: "Confidence in Result"}, "Risk": {en: "Risk", am: "አደጋ", or: "Risk", ti: "ሓደጋ", so: "Khatar", af: "Risk"} }, values :{ low: {en: "Low", am: "ዝቅተኛ", or: "Gadi fagoo", ti: "ትሑት", so: "Hoose", af: "Low"}, medium: {en: "Moderate", am: "መካከለኛ", or: "Giddu galeessa", ti: "መካከለኛ", so: "Dhexdhexaad", af: "Moderate"}, high: {en: "High", am: "ከፍተኛ", or: "Olfaa", ti: "ልዑል", so: "Sare", af: "High"}, crop: {en: "Crop", am: "አዝዎች", or: "Crop", ti: "ዕፅ", so: "Dalag", af: "Crop"}, livestock: {en: "Livestock", am: "እንስሳት", or: "Livestock", ti: "እንስሳ", so: "Xoolaha", af: "Livestock"}, agriculture: {en: "Agriculture", am: "ስነ-ምግብ ልማት", or: "Agriculture", ti: "ግብሪ", so: "Beeraha", af: "Agriculture"}, enabling: {en: "Enabling", am: "ማስቻል", or: "Enabling", ti: "ምሕጋዝ", so: "Suurtagelin", af: "Enabling"}, counteracting: {en: "Counteracting", am: "መቃወም", or: "Counteracting", ti: "ምግጋም", so: "La dagaallanka", af: "Counteracting"}, reinforcing: {en: "Reinforcing", am: "ማጠናከር", or: "Reinforcing", ti: "ምድልዳል", so: "Xoojin", af: "Reinforcing"}, constraining: {en: "Constricting", am: "መገደብ", or: "Constricting", ti: "ምግዳድ", so: "Xaddid", af: "Constricting"}, }, tooltip: { enable: {en: "Creates conditions which further a gender target", am: "የጾታ ግብን የሚያሻሽሉ ሁኔታዎችን ይፈጥራል", or: "Creates conditions which further a gender target", ti: "ዝተሻለ ጾታዊ ዓላማ የሚፈጥር ሁኔታታት", so: "Abuuritaanka xaalado kor u qaada hadafka jinsiga", af: "Creates conditions which further a gender target"}, reinforce: {en: "Aids the achievement of gender targets", am: "የጾታ ግቦችን ለማሳካት ይረዳል", or: "Aids the achievement of gender targets", ti: "የጾታ ዓላማታት ንምዕዋት ይሕግዝ", so: "Waxay kaalmeysaa gaarista hadafka jinsiga", af: "Aids the achievement of gender targets"}, constrain: {en: "Limits options to the success of a gender target", am: "የጾታ ግብ ለማሳካት ያሉ ምርጫዎችን ይገድባል", or: "Limits options to the success of a gender target", ti: "ንምርጫታት ናብ ዓላማ ጾታ የሚገድብ", so: "Xaddida ikhtiyaarrada guusha hadafka jinsiga", af: "Limits options to the success of a gender target"}, counteract: {en: "Inhibits the achievement of gender targets", am: "የጾታ ግቦችን ማሳካት ያግዳል", or: "Inhibits the achievement of gender targets", ti: "የጾታ ዓላማታት ንምዕዋት የሚገድብ", so: "Ka hortagida gaarista hadafka jinsiga", af: "Inhibits the achievement of gender targets"}, "climate change": {en: "Climate Change", am:"የአየር ንብረት ለውጥ", or:"Climate Change", ti:"ለውጢ ኣየር ኣዝማምን", so:"Isbeddelka Cimilada", af:"Climate Change"}, "drought": {en: "Drought", am:"ጉስቋላ", or:"Drought", ti:"ጽልም", so:"Abaar", af:"Drought"}, "heat stress": {en: "Heat Stress", am:"የሙቀት ጫና", or:"Heat Stress", ti:"ሙቀት ጫና", so:"Cadaadiska Kulaylka", af:"Heat Stress"}, "extreme weather events": {en: "Extreme Weather Events", am:"ከፍተኛ የአየር ንብረት ክስተቶች", or:"Extreme Weather Events", ti:"ከፍቲ ኣየር ኣዝማምን ፍጻመ", so:"Dhacdooyinka Cimilada ee Xad dhaaf ah", af:"Extreme Weather Events"}, "rainfall variability": {en: "Rainfall Variability", am:"የዝናብ መለዋወጥ", or:"Rainfall Variability", ti:"መለዋወጥ ዝናብ", so:"Kala duwanaanshaha Roobka", af:"Rainfall Variability"}, "multiple risks": {en: "Multiple Risks", am:"ብዙ አደጋዎች", or:"Multiple Risks", ti:"ብዙሕ ሓደጋታት", so:"Khatarro Badan", af:"Multiple Risks"}, "flood": {en: "Flood", am:"ጎርፍ", or:"Flood", ti:"ጽግዒት", so:"Daad", af:"Flood"}, } } }, Summary: { title: {en : "Summary", am: "ማጠቃለያ", or: "Summary", ti: "ጽማች", so: "Soo koobid", af: "Summary"}, text: { en: `Gender-inclusive agricultural investments are essential for overcoming existing inequalities and mitigating future climate risks. Achieving gender equality and women's empowerment is integral to the success of all 17 Sustainable Development Goals (SDGs). Our analysis shows that women are differentially involved in different crops and geographies, and it highlights the regions where investments may be needed most. These climate investments should focus on driving inclusive adaptation pathways to ensure a sustainable future for all.`, am: `የጾታ-አጠቃላይ የስነ-ምግብ ልማት ኢንቨስትመንቶች ያሉትን አለመመጣጠን ለማሸነፍ እና የወደፊት የአየር ንብረት አደጋዎችን ለመቀነስ አስፈላጊ ናቸው። የጾታ እኩልነት እና የሴቶች ኃይለኛነት ማሳካት ለሁሉም 17 ዘላቂ የልማት ግቦች (SDGs) ስኬት ዋና አካል ነው። የእኛ ትንተና እንደሚያሳየው ሴቶች በተለያዩ አዝዎች እና ጂኦግራፊዎች ውስጥ በተለያየ መልኩ ይሳተፋሉ፣ እንዲሁም ኢንቨስትመንቶች በጣም የሚያስፈልጉባቸውን ክልሎች ያመለክታል። እነዚህ የአየር ንብረት ኢንቨስትመንቶች ለሁሉም ዘላቂ የወደፊት ጊዜ ለማረጋገጥ አጠቃላይ የመላመድ መንገዶችን ማስተዳደር ላይ ማተኮር አለባቸው።`, or: `Maallaqaa qonnaa saala-waliigalaa dhibee jiraa irraa guddaa ta'ee, dhibee qilleensaa irraa guddaa ta'ee dhiibbaa qabuuf barbaachisaadha. Gaariinsa saalaa fi dandeettii dubartootaa deeggarsa guddaa ta'ee, SDGs 17 hunda deeggarsa guddaa ta'ee. Qorannoon keenya agarsiisa akkaataa dubartootaa dalagaa adda addaa irratti hirmaannaan isaanii keessatti adda adda ta'ee, meeshaa maallaqaa barbaachisaa ta'ee dhiibbaa qabu. Maallaqaan qilleensaa kun deeggarsa guddaa ta'ee, deeggarsa guddaa ta'ee, fi deeggarsa guddaa ta'ee.`, ti: `ኢንቨስትመንት ግብሪ ጾታ-ኣጠቃላይ ኣገዳሲ እዩ ንምሕረት ዘሎ ኣለመመጣጠንን ንምቕንዓር ዝመጽእ ሓደጋታት ኣየር ኣዝማምንን። ማዕርነት ጾታን ሓይሊ ሰበይቲን ምዕዋት ኣብ ዓውዲ 17 ዘላቂ ልምዓት (SDGs) ኣገዳሲ ኣካል እዩ። ኣካልና የርኢ ከም ዝኾነ ሰበይቲ ኣብ ዝተፈላለየ ዕፅን ጂኦግራፍያትን ብዝተፈላለየ መንገድ ይሳተፋ፡ ከምኡውን ኣብቲ ኢንቨስትመንት ብጣሕሚ ዘድልዮ ከባቢታት የምልክት። እዞም ኢንቨስትመንት ኣየር ኣዝማምን ኣብ ምድልዳል ኣጠቃላይ መገዲ ምክልኻል ኣተኩሮም ክኸውን ኣለዎም፡ ንሁሉም ዘላቂ መጻኢ ንምርግጋጽ።`, so: `Maalgashiyada beeraha ee ku jira jinsiga waa muhiim u ah dhibaatada sinaadada jinsiga ee jira iyo hoos u dhigista khataraha cimilada ee mustaqbalka. Gaarista sinaanta jinsiga iyo awoodsiinta haweenka waa qayb muhiim ah oo ka mid ah guusha 17ka Ujeedada Horumarinta Joogtada ah (SDGs). Falanqayntayadu waxay muujinaysaa in haweenku ay si kala duwan uga qayb qaataan dalagyo iyo juqraafiyo kala duwan, waxayna muujinaysaa gobollada ay maalgashiyadu u baahan tahay in si weyn looga baahan yahay. Maalgashiyadan cimiladu waa inay diiradda saaraan dhiirigelinta jidadka isbeddelka ee wadajirka ah si loo hubiyo mustaqbal joogto ah oo dhan.`, af: `Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik. Tamaateh gexxa keenik akah mariih celta keenik tamaateh gexxa keenik.` } } })54:T12a36,nbText2 = new Object({ MethodsSources: { title: {en: "Methods & Sources", am: "ዘዴዎች እና ምንጮች", or: "Malaalee & Bu'uurawwan", ti: "ሜላታት & ንጥረ ምንጭታት", so: "Hababka & Xogta", af: "Gatnaawee Keessaawaa"}, datasets : { title: {en: "Datasets", am: "የውሂብ ስብስቦች", or: "Madaalliwwan Daataa", ti: "ንጥረ ዳታታት", so: "Xog-ururinta", af: "Daataa Keessaawaa"}, femaleParticipation:{ title: {en: "Female participation in agricultural labor and crop production", am: "የሴቶች በስነ-ምግብ ልማት ጉልበት እና በአዝዎች ምርት መሳተፍ", or: "Dubartootni humna hojiirra ooluu qonnaa fi uumama alangeessaa keessatti hirmaannaa", ti: "ምስታዊ ክፍሊ ናይ ስርሒት ኩርሲ ኣብ ጽቡቅ ስራሕ ናይ ግብሪ ዕምቆትን ናይ ዝመጽእ እኽሊ ፍርያትን", so: "Ka qeyb galinta haweenka ee shaqada beeraha iyo soo saarka dalagyada", af: "Afarimtoo qonnaan diriiwaa fi akkataa qonnaan oomishaan tajaajilaan waliin jiraachuu"}, text:{ en: ` - The data for female labor participation in various agricultural activities and production of different crops across multiple countries is taken from [Palacios-Lopez, A., Christiaensen, L. and Kilic, T. (2017)](https://doi.org/10.1016/j.foodpol.2016.09.017). The data is based on a survey of ~2000 households in 6 countries circa 2015. Data for North and South Nigeria was combined by taking the mean value for each crop or agricultural activity. - **[Crop value of production](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/exposure_catalog/mapspam2017/mapspam2017_vop_parquet/mapspam2017_vop_parquet.json)** is from MapSPAM 2017 V2r3 (Spatial Production Allocation Model) where production values are multiplied by country specific FAOstat international crop prices in 2005 International Dollars. A 2005 [international dollar](https://en.wikipedia.org/wiki/International_dollar) is a hypothetical unit of currency that has the same purchasing power parity as the U.S. dollar had in the United States in 2005, allowing for comparison of what consumers can buy in different countries with the same amount of money. This dataset is an updated version of MapSPAM specifically tailored for this project. It includes bug fixes and incorporates country-specific values of production instead of global averages.`, am: ` - በተለያዩ የስነ-ምግብ ልማት እንቅስቃሴዎች እና በተለያዩ አዝዎች ምርት ላይ ያለው የሴቶች የጉልበት መሳተፍ ውሂብ ከብዙ አገሮች የተወሰደ ነው [Palacios-Lopez, A., Christiaensen, L. and Kilic, T. (2017)](https://doi.org/10.1016/j.foodpol.2016.09.017)። ውሂቡ በ2015 ከ6 አገሮች በግምት 2000 ቤተሰቦች ላይ የተደረገ ጥናት ላይ የተመሠረተ ነው። ለሰሜን እና ለደቡብ ናይጄሪያ ውሂብ በአማካይ እሴት በመውሰድ ለእያንዳንዱ አዝዎች ወይም ለስነ-ምግብ ልማት እንቅስቃሴ ተጣመረ። - **[የአዝዎች ምርት ዋጋ](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/exposure_catalog/mapspam2017/mapspam2017_vop_parquet/mapspam2017_vop_parquet.json)** ከ MapSPAM 2017 V2r3 (Spatial Production Allocation Model) የተወሰደ ነው፣ የምርት ዋጋዎች በ2005 አለም አቀፍ ዶላር በአገር የተለየ የFAOstat አለም አቀፍ የአዝዎች ዋጋዎች ተባዝተዋል። 2005 [አለም አቀፍ ዶላር](https://en.wikipedia.org/wiki/International_dollar) እስከ 2005 በአሜሪካ ውስጥ ለአሜሪካ ዶላር እንደነበረው ተመሳሳይ የግዢ ኃይል ተመጣጣኝነት ያለው የምናምን የምንዛሬ አሃድ ነው፣ ይህም ሸማቾች በተለያዩ አገሮች ውስጥ በተመሳሳይ የገንዘብ መጠን ምን ሊገዙ እንደሚችሉ ለማነፃፀር ያስችላል። ይህ የውሂብ ስብስብ ለዚህ ፕሮጀክት በተለይ የተስተካከለ የMapSPAM የተሻሻለ ስሪት ነው። የሶፍትዌር ስህተቶችን ማስተካከያ ያጠቃልላል እና ከዓለም አቀፍ አማካዮች ይልቅ በአገር የተለየ የምርት ዋጋዎችን ያጠቃልላል።`, or: ` - Daataan hirmaannaa hojiirra ooluu dubartootaa hojii qonnaa adda addaa fi uumama alangeessaa garaagaraa dachaa biyya adda addaa keessatti fudhatamaa kan jiru [Palacios-Lopez, A., Christiaensen, L. and Kilic, T. (2017)](https://doi.org/10.1016/j.foodpol.2016.09.017). Daataan kun yeroo 2015tti qorannoo mana 2000 ol ta'e biyya 6 keessatti hundaa'uun irratti hundaa'ee jira. Daataan Kaabaa fi Kibba Naajeeriyaa gatii giddu gala alangeessaa tokkoofi hojii qonnaa tokkoof walitti qabame. - **[Gatii uumama alangeessaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/exposure_catalog/mapspam2017/mapspam2017_vop_parquet/mapspam2017_vop_parquet.json)** kan MapSPAM 2017 V2r3 (Spatial Production Allocation Model) irraa kan argame yoo ta'u, gatii uumamaa gatii alangeessaa addunyaa FAOstat kan 2005 Doollaaraa Addunyaa irratti hundaa'ee biyya adda addaatiin baay'ataman. Doollaaraa addunyaa 2005 [kan](https://en.wikipedia.org/wiki/International_dollar) yunitii raawwii mala qabeenyaa bu'aa tajaajilaa kan Doollaaraa Ameerikaa 2005tti Ameerikaatti qabu waliin wal qixa ta'ee dha, akkaataa bitattotni gatii qabeenyaa wal qixaa qaban biyya adda addaa keessatti maal bitachuu danda'an akka walitti hin qabne taasisuuf. Madaalliin daataa kanaa MapSPAM kan deebi'aan fooyyeffamee, dhaabbata kanaan adda godhameedha. Fooyya'awwan sirrii godhaniifi gatii uumamaa biyya adda addaa akkaataa giddu gala addunyaa hin taane kan of keessaa qabati.`, ti: ` - ዳታ ናይ ምስታዊ ስራሕ ኣብ ናይ ግብሪ ዕምቆት ኣብ ዝተፈላለየ ስርሒት እንቅስቃሴታትን ናይ ዝተፈላለየ ዝመጽእ እኽሊ ፍርያትን ኣብ ዝተፈላለየ ሃገራት ዝወሰደ ካብ [Palacios-Lopez, A., Christiaensen, L. and Kilic, T. (2017)](https://doi.org/10.1016/j.foodpol.2016.09.017)። እቲ ዳታ ኣብ እንኮ 2015 ኣብ 6 ሃገራት ኣብ ዝኾነ ገዛ ከም 2000 ዝሓለፈ ኣብ ዝተመርኮሰ እዩ። ዳታ ንሰሜንን ደቡብን ናይጄሪያ ብማእከላይ ዋጋ ንነፍሲ ወከፍ ዝመጽእ እኽልን ስርሒት ኩርሲን እናተጣመረ እዩ። - **[ዋጋ ናይ ዝመጽእ እኽሊ ፍርያ](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/exposure_catalog/mapspam2017/mapspam2017_vop_parquet/mapspam2017_vop_parquet.json)** ካብ MapSPAM 2017 V2r3 (ስፓሻይል ፕሮዳክሽን ኣሎኬሽን ሞዴል) እዩ፣ ኣብ ዝኾነ ሃገር ካብ ፋኦስታት ኢንተርናሽናል ዋጋ ናይ ዝመጽእ እኽሊ ኣብ 2005 ኢንተርናሽናል ዶላር እናተባዕለ እዩ። 2005 [ኢንተርናሽናል ዶላር](https://en.wikipedia.org/wiki/International_dollar) ሃይፖቴቲካል ኣሃዱ ናይ ምንዛሪ እዩ እቲ ናይ መግዛእቲ ሓይሊ ፓርቲ ከምቲ ኣብ ኣመሪካ 2005 ንኣመሪካዊ ዶላር እተገብረ እዩ፣ ንኽትውድእ እቲ ንግዲታት ብተመሳሳሊ ገንዘብ ኣብ ዝተፈላለየ ሃገራት እንታይ ክገዝእ ከም ዝኽእሉ። እዚ ዳታ ስብስብ እዚ ንዝሓደገ ስሪት ናይ MapSPAM እዩ ብቐሊሉ ንዚ ፕሮጀክት ዝተዳለወ። ስህተት ምጽጋንን ኣብ ዝኾነ ሃገር ዝተፈልየ ዋጋ ፍርያት ኣብ ኩሉ ዓለም ማእከላት ዘይኮነ እዩ።`, so: ` - Xogta ka qeyb galinta haweenka ee shaqada beeraha iyo soo saarka dalagyada kala duwan ee dalal badan waxaa laga soo qaatay [Palacios-Lopez, A., Christiaensen, L. and Kilic, T. (2017)](https://doi.org/10.1016/j.foodpol.2016.09.017). Xogtu waxay ku saleysantahay baaritaan laga sameeyay qoysaska ku dhowaad 2000 ee 6 dal oo ku beegnaa 2015. Xogta woqooyi iyo koonfurta Nigeria waxaa lagu wada daray iyadoo la qaatayo qiimaha dhexe ee mid kasta oo dalag ah ama shaqo beeraha. - **[Qiimaha soo saarka dalagyada](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/exposure_catalog/mapspam2017/mapspam2017_vop_parquet/mapspam2017_vop_parquet.json)** waa laga soo qaatay MapSPAM 2017 V2r3 (Qaabka Qeybinta Soo saarka Meelaha) halkaasoo qiimaha soo saarka lagu dhufto qiimaha caalamiga ah ee dalagyada ee FAOstat gaar u ah dal kasta oo ku salaysan Doollarka Caalamiga ah ee 2005. Doollarka caalamiga ah ee [2005](https://en.wikipedia.org/wiki/International_dollar) waa halbeeg dhaqaale loo maleynayo oo leh isku mid awood iibsasho sida Doollarka Mareykanka u lahaa Mareykanka 2005, oo ogolaadaysa in la is barbar dhigo waxa ay macaamiisha ku iibsadaan dalal kala duwan iyo lacag isku mid ah. Xog-ururintani waa nuqul cusub oo la cusboonaysiiyay ee MapSPAM oo si gaar ah loogu talagalay mashruucan. Waxaa ka mid ah hagaajinta qaladka iyo ku darista qiimayaasha soo saarka ee gaar u ah dal kasta halkii qiimayaasha dhexe ee caalamiga ah.`, af: ` - Daataan afarimtoo qonnaan diriiwaa akkataa qonnaan oomishaa keessa fi akkataa qonnaan oomishaan dantaa daantaa keessaata keenyaan daanta adda addaa keessa jiraachuu irraa [Palacios-Lopez, A., Christiaensen, L. and Kilic, T. (2017)](https://doi.org/10.1016/j.foodpol.2016.09.017) irraa fudhatama. Daataan kun 2015 irratti daanta 6 keessa mana 2000 ol irratti hundaa'uun irratti hundaa'ee jira. Daataan Kaabaa fi Kibba Naajeeriyaa gatii giddu gala akkataa qonnaan oomishaa tokkoofi tajaajilaa qonnaa tokkoof walitti qabame. - **[Gatii akkataa qonnaan oomishaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/exposure_catalog/mapspam2017/mapspam2017_vop_parquet/mapspam2017_vop_parquet.json)** kan MapSPAM 2017 V2r3 (Akkataa Qonnaan Oomishaa Meelaa) irraa kan argame yoo ta'u, gatii oomishaa gatii akkataa qonnaan oomishaa addunyaa FAOstat kan 2005 Doollaaraa Addunyaa irratti hundaa'ee daanta adda addaatiin baay'ataman. Doollaaraa addunyaa 2005 [kan](https://en.wikipedia.org/wiki/International_dollar) yunitii raawwii mala qabeenyaa bu'aa tajaajilaa kan Doollaaraa Ameerikaa 2005tti Ameerikaatti qabu waliin wal qixa ta'ee dha, akkaataa bitattotni gatii qabeenyaa wal qixaa qaban daanta adda addaa keessatti maal bitachuu danda'an akka walitti hin qabne taasisuuf. Madaalliin daataa kanaa MapSPAM kan deebi'aan fooyyeffamee, dhaabbata kanaan adda godhameedha. Fooyya'awwan sirrii godhaniifi gatii oomishaa daanta adda addaa akkaataa giddu gala addunyaa hin taane kan of keessaa qabati.` } }, heatStress:{ title: {en: "Heat Stress for Human, Crops, and Livestock", am: "ለሰው፣ ለአዝዎች እና ለእንስሳት የሙቀት ጫና", or: "Dhibbata ho'aa namootaaf, alangeessaaf, fi beyladaaf", ti: "ጽቕጥ ሙቀት ንሰብ፣ ንዝመጽእ እኽል፣ ንእንስሳ", so: "Cadaadis kulul ee dadka, dalagyada, iyo xoolaha", af: "Dhibbata ho'aa namootaaf, akkataa qonnaan oomishaan, fi beyladaaf"}, text:{ en: ` The Heat Stress Data is a subset of a [climate hazard dataset](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/hazard_catalog/hazard_timeseries_mean_annual/hazard_timeseries_mean_pq_annual/hazard_timeseries_mean_pq_annual.json?.language=fr), detailed [here](https://observablehq.com/d/d8c0692154e6c87e?collection=@adaptationatlas/data-spotlights#methods-sources), which includes climate hazard averages for each administrative boundary, across the SSPs and time periods. Historical heat stress refers to the period 1995-2014 (aligned with IPCC AR 6), while future heat stress utilizes the CMIP 6 ensemble average for the 2050s (2041-2060). - **Human heat stress** is based on heat index equations from Steadman ([1979a](https://doi.org/10.1175/1520-0450%281979%29018%3C0861:TAOSPI%3E2.0.CO;2); [1979b](https://doi.org/10.1175/1520-0450%281979%29018%3C0874:TAOSPI%3E2.0.CO;2)) and uses a combination of **mean** air temperature (dry-bulb) and relative humidity. - **Crop heat stress** is based on heat stress for maize. It is defined as the number of days with daily **maximum** temperatures (dry-bulb) above a given threshold of 35ºC during the flowering period. The growing season is based on the maize crop calendar from [Sacks et al. (2010)](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/). - **Livestock heat stress** is calculated using the Thermal Humidity Index for cattle from [Rahimi et al. (2020)](https://doi.org/10.1007/s10584-020-02733-2). It uses the **maximum** air temperature (dry-bulb) and relative humidity. More details and the equations used can be found [here](https://github.com/AdaptationAtlas/hazards/wiki/Hazards-definitions).`, am: ` የሙቀት ጫና ውሂብ የ [አየር ንብረት አደጋ ውሂብ ስብስብ](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/hazard_catalog/hazard_timeseries_mean_annual/hazard_timeseries_mean_pq_annual/hazard_timeseries_mean_pq_annual.json) ንኡስ ስብስብ ነው፣ ይህም [እዚህ](https://observablehq.com/d/d8c0692154e6c87e?collection=@adaptationatlas/data-spotlights#methods-sources) በዝርዝር ተገልጧል፣ እና ለእያንዳንዱ አስተዳደር ድንበር፣ በSSPዎች እና በጊዜ ዘመናት ውስጥ ያሉ የአየር ንብረት አደጋ አማካዮችን ያጠቃልላል። ታሪካዊ የሙቀት ጫና ለ1995-2014 ወቅት ይጠቅሳል (ከIPCC AR 6 ጋር በሚጣጣም ሁኔታ)፣ የወደፊት የሙቀት ጫና ለ2050ዎቹ (2041-2060) የCMIP 6 አማካይ አማካኝ ይጠቀማል። - **የሰው ሙቀት ጫና** ከSteadman ([1979a](https://doi.org/10.1175/1520-0450%281979%29018%3C0861:TAOSPI%3E2.0.CO;2); [1979b](https://doi.org/10.1175/1520-0450%281979%29018%3C0874:TAOSPI%3E2.0.CO;2)) የሙቀት ኢንዴክስ እኩልታዎች ላይ የተመሠረተ ነው እና **አማካይ** የአየር ሙቀት (ደረቅ-ቡምባ) እና አንጻራዊ እርጥበት ጥምረት ይጠቀማል። - **የአዝዎች ሙቀት ጫና** ለገብስ የሙቀት ጫና ላይ የተመሠረተ ነው። በአበባ መግጠም ወቅት ዕለታዊ **ከፍተኛ** ሙቀቶች (ደረቅ-ቡምባ) ከ35ºC የተሰጠ ደረጃ በላይ ባሉ ቀናት ብዛት ይገለጻል። የእድገት ወቅት ከ [Sacks et al. (2010)](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/) የገብስ አዝዎች የቀን መቁጠሪያ ላይ የተመሠረተ ነው። - **የእንስሳት ሙቀት ጫና** ከ [Rahimi et al. (2020)](https://doi.org/10.1007/s10584-020-02733-2) ለከብት የሙቀት እርጥበት ኢንዴክስ በመጠቀም ይሰላል። **ከፍተኛ** የአየር ሙቀት (ደረቅ-ቡምባ) እና አንጻራዊ እርጥበት ይጠቀማል። ተጨማሪ ዝርዝሮች እና ጥቅም ላይ የዋሉት እኩልታዎች [እዚህ](https://github.com/AdaptationAtlas/hazards/wiki/Hazards-definitions) ሊገኙ ይችላሉ።`, or: ` Daataa Dhibbata Ho'aa kan [madaallii daataa balaa haala qilleensaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/hazard_catalog/hazard_timeseries_mean_annual/hazard_timeseries_mean_pq_annual/hazard_timeseries_mean_pq_annual.json) keessaa kan fudhatame yoo ta'u, [asii](https://observablehq.com/d/d8c0692154e6c87e?collection=@adaptationatlas/data-spotlights#methods-sources) keessatti ibsameera, kan giddu gala balaa haala qilleensaa daangee bulchiinsaa hundaaf, daandiwwan SSP fi yeroo adda addaatiin dabalata. Dhibbata ho'aa seenaa yeroo 1995-2014 (waa'ee IPCC AR 6 waliin wal ga'ee) dha, dhibbata ho'aa fuulduraa CMIP 6 giddu gala walitti qabame yeroo 2050 (2041-2060) tiin fayyadama. - **Dhibbata ho'aa namootaa** miseensota indeeksii ho'aa Steadman irraa ([1979a](https://doi.org/10.1175/1520-0450%281979%29018%3C0861:TAOSPI%3E2.0.CO;2); [1979b](https://doi.org/10.1175/1520-0450%281979%29018%3C0874:TAOSPI%3E2.0.CO;2)) irratti hundaa'ee fi **giddu gala** ho'aa qilleensaa (bulbii gogaa) fi dhiibbaa dhangala'aa waliin fayyadama. - **Dhibbata ho'aa alangeessaa** dhibbata ho'aa boqqollooof kan hundaa'eedha. Guyyaawwan **mammaaksi** ho'aa guyyaa guyyaa (bulbii gogaa) gabaabaa 35ºC ol ta'e yeroo baalaa keessatti ta'an lakkoofsa guyyaawwan ta'een kan ibsamu yoo ta'u. Yeroo guddinaa kalanderii alangeessaa boqqolloo kan [Sacks et al. (2010)](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/) irraa kan argamedha. - **Dhibbata ho'aa beyladaa** indeeksii dhangala'aa ho'aa sa'a fiijii irratti hundaa'ee kan [Rahimi et al. (2020)](https://doi.org/10.1007/s10584-020-02733-2) fayyadamuun qoratama. **Mammaaksi** ho'aa qilleensaa (bulbii gogaa) fi dhiibbaa dhangala'aa fayyadama. Dura-duraa fi miseensota fayyadamoo [asii](https://github.com/AdaptationAtlas/hazards/wiki/Hazards-definitions) argachuu danda'a.`, ti: ` ዳታ ጽቕጥ ሙቀት ካብ [ዳታ ስብስብ ሓደጋ ክሊማ](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/hazard_catalog/hazard_timeseries_mean_annual/hazard_timeseries_mean_pq_annual/hazard_timeseries_mean_pq_annual.json) እተወሰደ ንኡስ ስብስብ እዩ፣ [ኣብዚ](https://observablehq.com/d/d8c0692154e6c87e?collection=@adaptationatlas/data-spotlights#methods-sources) ዝተዘርዘረ፣ እቲ ንነፍሲ ወከፍ ዶምዮ ኣስተዳደር፣ ኣብ ስስፒታትን ናይ ግዜ ወቕትታትን ኣብ ዘሎ ናይ ክሊማ ሓደጋ ኣማእከላት ዘጠቓልል። ታሪኻዊ ጽቕጥ ሙቀት ናብ ወቕቲ 1995-2014 (ምስ IPCC AR 6 ዝተጣጠረ) ይምልከት፣ ኣብ መጻኢ ጽቕጥ ሙቀት ናብ ሲሚፕ 6 ማእከላት ንዓድታት 2050 (2041-2060) ይጥቀም። - **ጽቕጥ ሙቀት ሰብ** ኣብ ምስልላል ኢንዴክስ ሙቀት ካብ ስቲድማን ([1979a](https://doi.org/10.1175/1520-0450%281979%29018%3C0861:TAOSPI%3E2.0.CO;2); [1979b](https://doi.org/10.1175/1520-0450%281979%29018%3C0874:TAOSPI%3E2.0.CO;2)) ዝተመሰረተ እዩ ከምኡ'ውን **መንካዕ** ሙቀት ኣየር (ደረቅ-ቡልብ) ከምኡ'ውን ናይ ውሑድ ምትእስሳር ይጥቀም። - **ጽቕጥ ሙቀት ዝመጽእ እኽሊ** ኣብ ጽቕጥ ሙቀት ንስንዴ ዝተመሰረተ እዩ። ኣብ ዝርከብ መወዳእታ 35ºC ኣብ ዘሎ ግዜ ዕምባባ ናይ መዓልቲ **ዝለዓለ** ሙቀት (ደረቅ-ቡልብ) ኣብ ዘሎ መዓልትታት ብብዝሒ መዓልትታት ይትርጎም። እቲ ዝዓብይ መዓልቲ ካብ ካለንደር ዝመጽእ እኽሊ ስንዴ ካብ [Sacks et al. (2010)](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/) ዝተመሰረተ እዩ። - **ጽቕጥ ሙቀት እንስሳ** ብመጠን ሙቀት ውሑድ ንበሬ ካብ [Rahimi et al. (2020)](https://doi.org/10.1007/s10584-020-02733-2) ተጠቒሙ ይሕሰብ። **ዝለዓለ** ሙቀት ኣየር (ደረቅ-ቡልብ) ከምኡ'ውን ናይ ውሑድ ምትእስሳር ይጥቀም። ተወሳኺ ዝርዝራትን እተጠቕሙ ምስልላልታትን [ኣብዚ](https://github.com/AdaptationAtlas/hazards/wiki/Hazards-definitions) ክርከቡ ይኽእሉ።`, so: ` Xogta Cadaadis Kulul waa qeyb ka mid ah [xog-ururinta khataraha cimilada](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/hazard_catalog/hazard_timeseries_mean_annual/hazard_timeseries_mean_pq_annual/hazard_timeseries_mean_pq_annual.json) oo [halkan](https://observablehq.com/d/d8c0692154e6c87e?collection=@adaptationatlas/data-spotlights#methods-sources) si faahfaahsan looga sheegay, taasoo ku jirta celceliska khataraha cimilada ee xuduud kasta oo maamul, inta u dhexeysa SSP-yada iyo waqtiyada. Cadaadiska kulul ee taariikheed wuxuu tilmaamayaa muddada 1995-2014 (oo u dhiganta IPCC AR 6), halka cadaadiska kulul ee mustaqbalka uu u isticmaalo celceliska ururinta CMIP 6 ee 2050-yada (2041-2060). - **Cadaadiska kulul ee dadka** waxaa ku saleysan isle'egyada kulka ee Steadman ([1979a](https://doi.org/10.1175/1520-0450%281979%29018%3C0861:TAOSPI%3E2.0.CO;2); [1979b](https://doi.org/10.1175/1520-0450%281979%29018%3C0874:TAOSPI%3E2.0.CO;2)) waxayna isticmaashaa isku darka **celceliska** heerkulka hawa (qoriga) iyo qoyanka la xiriira. - **Cadaadiska kulul ee dalagyada** waxaa ku saleysan cadaadiska kulul ee galley. Waxaa lagu qeexay tirada maalmaha leh **ugu badan** heerkulka maalmeedka (qoriga) ka sarreeya xaddka la siiyay ee 35ºC inta u dhexeysa xilliga ubaxa. Xilliga koritaanka waxaa ku saleysan kalandarka dalagyada galley ee [Sacks et al. (2010)](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/). - **Cadaadiska kulul ee xoolaha** waxaa la xisaabiyaa adoo isticmaalaya Indexka Kulka ee Qoyanka loo xoolo dhiig ee [Rahimi et al. (2020)](https://doi.org/10.1007/s10584-020-02733-2). Waxay isticmaashaa **ugu badan** heerkulka hawa (qoriga) iyo qoyanka la xiriira. Faahfaahin dheeraad ah iyo isle'egyada la isticmaalay waxaa laga heli karaa [halkan](https://github.com/AdaptationAtlas/hazards/wiki/Hazards-definitions).`, af: ` Daataa Dhibbata Ho'aa kan [madaallii daataa balaa haala qilleensaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/hazard_catalog/hazard_timeseries_mean_annual/hazard_timeseries_mean_pq_annual/hazard_timeseries_mean_pq_annual.json) keessaa kan fudhatame yoo ta'u, [asii](https://observablehq.com/d/d8c0692154e6c87e?collection=@adaptationatlas/data-spotlights#methods-sources) keessatti ibsameera, kan giddu gala balaa haala qilleensaa daangee bulchiinsaa hundaaf, daandiwwan SSP fi yeroo adda addaatiin dabalata. Dhibbata ho'aa seenaa yeroo 1995-2014 (waa'ee IPCC AR 6 waliin wal ga'ee) dha, dhibbata ho'aa fuulduraa CMIP 6 giddu gala walitti qabame yeroo 2050 (2041-2060) tiin fayyadama. - **Dhibbata ho'aa namootaa** miseensota indeeksii ho'aa Steadman irraa ([1979a](https://doi.org/10.1175/1520-0450%281979%29018%3C0861:TAOSPI%3E2.0.CO;2); [1979b](https://doi.org/10.1175/1520-0450%281979%29018%3C0874:TAOSPI%3E2.0.CO;2)) irratti hundaa'ee fi **giddu gala** ho'aa qilleensaa (bulbii gogaa) fi dhiibbaa dhangala'aa waliin fayyadama. - **Dhibbata ho'aa akkataa qonnaan oomishaan** dhibbata ho'aa boqqollooof kan hundaa'eedha. Guyyaawwan **mammaaksi** ho'aa guyyaa guyyaa (bulbii gogaa) gabaabaa 35ºC ol ta'e yeroo baalaa keessatti ta'an lakkoofsa guyyaawwan ta'een kan ibsamu yoo ta'u. Yeroo guddinaa kalanderii akkataa qonnaan oomishaa boqqolloo kan [Sacks et al. (2010)](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/) irraa kan argamedha. - **Dhibbata ho'aa beyladaa** indeeksii dhangala'aa ho'aa sa'a fiijii irratti hundaa'ee kan [Rahimi et al. (2020)](https://doi.org/10.1007/s10584-020-02733-2) fayyadamuun qoratama. **Mammaaksi** ho'aa qilleensaa (bulbii gogaa) fi dhiibbaa dhangala'aa fayyadama. Dura-duraa fi miseensota fayyadamoo [asii](https://github.com/AdaptationAtlas/hazards/wiki/Hazards-definitions) argachuu danda'a.` } }, FemaleWellbeing: { title: {en: 'Female Well-being and Empowerment data', am: "የሴቶች ደህንነት እና ኃይለኛነት ውሂብ", or: "Daataa Fayyaa fi Danda'ama Dubartootaa", ti: "ዳታ ጽቡቕ ህይወትን ሓይልን ኣንስተይቲ", so: "Xogta Wanaagsanida iyo Awooda Haweenka", af: "Daataa Fayyaa fi Danda'ama Afarimtoo"}, text: { en: `The [Female Empowerment Index](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/adaptive-capacity/women-and-gender/female-empowerment/collection.json) combines data on domestic violence, employment, reproductive healthcare, decision-making power, and family planning. The index, and the variables it is derived from, are from [Rettig, Erica (2022)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8GJKYW) and are build using data from [DHS Program](https://dhsprogram.com). The individual variables and the Empowerment Index are based on the 2015 calculations. All of these have been normalized between 0 and 1, where 0 represents lowest empowerment and 1 represents highest empowerment`, am: `[የሴት ኃይለኛነት ኢንዴክስ](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/adaptive-capacity/women-and-gender/female-empowerment/collection.json) በቤት ውስጥ ግጭት፣ ሥራ፣ የወሊድ ጤና እንክብካቤ፣ የውሳኔ ማሰብ ኃይል እና የቤተሰብ እቅድ ላይ ያለውን ውሂብ ያጣምራል። ኢንዴክስ እና ከሚመነጩት ተለዋዋጮች ከ [Rettig, Erica (2022)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8GJKYW) የተወሰዱ ናቸው እና ከ [DHS Program](https://dhsprogram.com) ውሂብ በመጠቀም ተገንብተዋል። የግለሰብ ተለዋዋጮች እና የኃይለኛነት ኢንዴክስ በ2015 ስሌቶች ላይ የተመሠረቱ ናቸው። እነዚህ ሁሉ በ0 እና 1 መካከል ተለመደዋል፣ 0 ዝቅተኛውን ኃይለኛነት የሚወክል ሲሆን 1 ከፍተኛውን ኃይለኛነት የሚወክል ነው።`, or: `[Indeeksii Danda'ama Dubartootaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/adaptive-capacity/women-and-gender/female-empowerment/collection.json) daataa waraana mana, hojii, qorannoo fayyaa dhalchii, dandeettii murteessaa, fi qophii maatii waliin walitti qabata. Indeeksii, fi jijjiiramaaleen isa irraa kan fudhataman [Rettig, Erica (2022)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8GJKYW) irraa kan argaman yoo ta'u, daataa [DHS Program](https://dhsprogram.com) fayyadamuun ijaaraman. Jijjiiramaaleen shaxii fi Indeeksii Danda'ama 2015 qorannoo irratti hundaa'an. Isaan hundi 0 fi 1 gidduutti wal qixxeessan, 0 dandeettii gadi aanaan ibsu yoo ta'u, 1 dandeettii ol aanaan ibsa.`, ti: `[ኢንዴክስ ሓይሊ ኣንስተይቲ](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/adaptive-capacity/women-and-gender/female-empowerment/collection.json) ዳታ ናይ ቤት ውግእ፣ ስራሕ፣ ናይ ምውላዕ ጥዕና፣ ሓይሊ ውሳነ፣ ከምኡ'ውን ውጥን ስድራቤት ይውህብ። እቲ ኢንዴክስ፣ ከምኡ'ውን ካብኡ ዝተመንጨሉ ተለዋዋጥታት ካብ [Rettig, Erica (2022)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8GJKYW) ዝተወሰዱ እዮም፣ ከምኡ'ውን ብዳታ [DHS Program](https://dhsprogram.com) ዝተሃንጹ። እቶም ፍሉይ ተለዋዋጥታትን ኢንዴክስ ሓይሊን ኣብ 2015 ሕሳባት ዝተመሰረቱ እዮም። ኵሎምኡ ኣብ መንጎ 0 ከምኡ'ውን 1 ተለዋዋጥ ኮይኖም፣ 0 ዝተወሰነ ሓይሊ የንጸባርቕ፣ 1 ዝለዓለ ሓይሊ የንጸባርቕ።`, so: `[Indexka Awooda Haweenka](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/adaptive-capacity/women-and-gender/female-empowerment/collection.json) wuxuu isku darayaa xogta ku saabsan cadaadiska guriga, shaqada, daryeelka caafimaadka taranka, awoodda go'aansashada, iyo qorshaha qoyska. Indexka, iyo doorsoomayaasha laga soo saaro, waxay ka yimaadeen [Rettig, Erica (2022)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8GJKYW) waxayna la dhisay adoo isticmaalaya xogta laga soo qaato [DHS Program](https://dhsprogram.com). Doorsoomayaasha gaarka ah iyo Indexka Awooda waxaa ku salaysan xisaabaadka 2015. Dhammaan kuwan waxaa loo celceliyay inta u dhexeysa 0 iyo 1, halka 0 ay ka dhigan tahay awoodda ugu hooseysa 1na ay ka dhigan tahay awoodda ugu sarreysa`, af: `[Indeeksii Danda'ama Afarimtoo](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/adaptive-capacity/women-and-gender/female-empowerment/collection.json) daataa waraana mana, hojii, qorannoo fayyaa dhalchii, dandeettii murteessaa, fi qophii maatii waliin walitti qabata. Indeeksii, fi jijjiiramaaleen isa irraa kan fudhataman [Rettig, Erica (2022)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8GJKYW) irraa kan argaman yoo ta'u, daataa [DHS Program](https://dhsprogram.com) fayyadamuun ijaaraman. Jijjiiramaaleen shaxii fi Indeeksii Danda'ama 2015 qorannoo irratti hundaa'an. Isaan hundi 0 fi 1 gidduutti wal qixxeessan, 0 dandeettii gadi aanaan ibsu yoo ta'u, 1 dandeettii ol aanaan ibsa.` } }, WomenInAg: { title: {en: "Number of Women Involved In Agriculture", am: "በስነ-ምግብ ልማት ውስጥ የሚሳተፉ ሴቶች ብዛት", or: "Lakkoofsa Dubartootaa Qonnaa Keessatti Himaataman", ti: "ቁጽሪ ኣንስተይቲ ኣብ ስርሒት ኩርሲ ዝሳተፋ", so: "Tirada Haweenka Ka Qeyb Qaata Beeraha", af: "Lakkoofsa Afarimtoo Qonnaa Keessatti Himaataman"}, text: { en: ` - Female population data is based on the WorldPop age/sex structure dataset, and includes all females aged 65 or younger [(WorldPop, 2016)](https://hub.worldpop.org/geodata/summary?id=1276). This data has a spatial resolution of 1 km and is based on the WorldPop 2015 estimates. - Percentage of women working in agriculture per admin level 1 boundary is taken from the LivWell dataset [(Belmin et al., 2022)](https://doi.org/10.1038/s41597-022-01824-2). In regions not covered by the Livwell data, country scale data from the ILO stat modeled estimate of employment in agriculture is used [(International Labour Organization, 2022)](https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/).`, am: ` - የሴት ሕዝብ ውሂብ በWorldPop ዕድሜ/ጾታ መዋቅር ውሂብ ስብስብ ላይ የተመሠረተ ነው፣ እና እስከ 65 ዓመት ወይም ከዚያ በታች ያሉ ሁሉም ሴቶችን ያጠቃልላል [(WorldPop, 2016)](https://hub.worldpop.org/geodata/summary?id=1276)። ይህ ውሂብ 1 ኪ.ሜ የቦታ ጥራት አለው እና በWorldPop 2015 ግምቶች ላይ የተመሠረተ ነው። - በአስተዳደር ደረጃ 1 ድንበር በስነ-ምግብ ልማት ውስጥ የሚሠሩ ሴቶች መቶኛ ከLivWell ውሂብ ስብስብ [(Belmin et al., 2022)](https://doi.org/10.1038/s41597-022-01824-2) የተወሰደ ነው። በLivWell ውሂብ የማይሸፍኑ ክልሎች ውስጥ፣ የአገር ደረጃ ውሂብ ከILO stat የስነ-ምግብ ልማት ሥራ መዋቅር ግምት [(International Labour Organization, 2022)](https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/) ይጠቀማል።`, or: ` - Daataa baay'ina dubartootaa daataan saffisa umurii/faalli dhalaa WorldPop irratti hundaa'ee, dubartoota umrii 65 yookaan isaa gadi ta'an hunda dabalata [(WorldPop, 2016)](https://hub.worldpop.org/geodata/summary?id=1276). Daataan kun saffisa meeshaa 1 km qaba fi WorldPop 2015 madaala irratti hundaa'ee jira. - Dhibbaan ka'ii dubartootaa qonnaa keessatti hojjetan daangee sadarkaa bulchiinsaa 1 tokkoof daataan LivWell [(Belmin et al., 2022)](https://doi.org/10.1038/s41597-022-01824-2) irraa fudhatama. Naannoon daataan LivWell hin dhuunfatin, daataan sadarkaa biyyaa ILO stat madaala hojii qonnaa [(International Labour Organization, 2022)](https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/) fayyadama.`, ti: ` - ዳታ ብዝሒ ኣንስተይቲ ኣብ ዳታ ስብስብ ክሊ ዕድመ/ጾታ WorldPop ዝተመሰረተ እዩ፣ ከምኡ'ውን ክልተ ዕድመ 65 ወይ ካብኡ ንታሕቲ ዘለዉ ኩሎም ኣንስተይቲ የጠቓልል [(WorldPop, 2016)](https://hub.worldpop.org/geodata/summary?id=1276)። እዚ ዳታ እዚ 1 ኪ.ሜ መጠን ስፋሕ ቦታ ኣለዎ፣ ከምኡ'ውን ኣብ WorldPop 2015 ግምት ዝተመሰረተ እዩ። - ሚእታዊት ኣንስተይቲ ኣብ ስርሒት ኩርሲ ኣብ ዝሰርሓ በይኑ ዶምዮ ደረጃ 1 ካብ ዳታ ስብስብ LivWell [(Belmin et al., 2022)](https://doi.org/10.1038/s41597-022-01824-2) ዝወሰደ እዩ። ኣብቲ ኣብ ዳታ LivWell ዘይተኣታተወ ክልል፣ ዳታ ደረጃ ሃገር ካብ ILO stat ግምት ስራሕ ስርሒት ኩርሲ [(International Labour Organization, 2022)](https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/) ይጥቀም።`, so: ` - Xogta tirada dadka haweenka ah waxaa ku saleysan xog-ururinta qaab-dhismeedka da'da iyo jinsiga ee WorldPop, waxayna ku jirtaa dhammaan haweenka da'doodu yahay 65 ama ka yar [(WorldPop, 2016)](https://hub.worldpop.org/geodata/summary?id=1276). Xogtani waxay leedahay goob xakameed oo 1 km ah waxayna ku saleysantahay qiimeynta WorldPop 2015. - Boqolaalka haweenka ee ku shaqeeya beeraha ee xuduud kasta oo heer maamul 1 waxaa laga soo qaatay xog-ururinta LivWell [(Belmin et al., 2022)](https://doi.org/10.1038/s41597-022-01824-2). Gobollada aan xogta LivWell ku dhaca, waxaa la isticmaalaa xogta heerka dalka ee laga soo qaatay qiimeynta shaqada beeraha ee ILO stat [(International Labour Organization, 2022)](https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/).`, af: ` - Daataa baay'ina afarimtoo daataan saffisa umurii/faalli dhalaa WorldPop irratti hundaa'ee, afarimtoo umrii 65 yookaan isaa gadi ta'an hunda dabalata [(WorldPop, 2016)](https://hub.worldpop.org/geodata/summary?id=1276). Daataan kun saffisa meeshaa 1 km qaba fi WorldPop 2015 madaala irratti hundaa'ee jira. - Dhibbaan ka'ii afarimtoo qonnaa keessatti hojjetan daangee sadarkaa bulchiinsaa 1 tokkoof daataan LivWell [(Belmin et al., 2022)](https://doi.org/10.1038/s41597-022-01824-2) irraa fudhatama. Naannoon daataan LivWell hin dhuunfatin, daataan sadarkaa daantaa ILO stat madaala hojii qonnaa [(International Labour Organization, 2022)](https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/) fayyadama.` } }, adaptationSolutions:{ title: {en: "Adaptation Solutions and Gender Outcomes", am: "የመላመድ መፍትሄዎች እና የጾታ ውጤቶች", or: "Furmaata Wal-qixxummaa fi Bifa Dhalchii Faalaa", ti: "መፍትሐታት ምትእስሳርን ውጽኢት ጾታን", so: "Xalliyada Isu-bedelka iyo Natiijooyinka Jinsiga", af: "Furmaata Wal-qixxummaa fi Bifa Dhalchii Faalaa"}, text: { en: `The solution data is based on a systematic review of adaptation solutions and evidence on their gender outcomes by [Roy, J., Prakash, A., Some, S. et al. (2022)](https://doi.org/10.1057/s41599-022-01266-6). This review is comprised of >17,000 studies on gender and climate adaptation globally. `, am: `የመፍትሄው ውሂብ በመላመድ መፍትሄዎች እና በጾታ ውጤቶቻቸው ላይ ያለው ማስረጃ ስርዓታዊ ግምገማ ላይ የተመሠረተ ነው [Roy, J., Prakash, A., Some, S. et al. (2022)](https://doi.org/10.1057/s41599-022-01266-6)። ይህ ግምገማ ከ17,000 በላይ በጾታ እና በአየር ንብረት መላመድ ላይ በዓለም አቀፍ ደረጃ የተደረጉ ጥናቶችን ያጠቃልላል።`, or: `Daataan furmaataa hiikkaa sirnaa furmaata wal-qixxummaa fi ragaa bifa dhalchii faalaa isaanii kan [Roy, J., Prakash, A., Some, S. et al. (2022)](https://doi.org/10.1057/s41599-022-01266-6) irratti hundaa'ee jira. Hiikkaan kun qorannoo >17,000 faalaa fi wal-qixxummaa haala qilleensaa addunyaa irratti hammata. `, ti: `ዳታ መፍትሐታት ኣብ ስርዓታዊ ምግላጽ መፍትሐታት ምትእስሳርን መርትዖ ውጽኢት ጾታን ካብ [Roy, J., Prakash, A., Some, S. et al. (2022)](https://doi.org/10.1057/s41599-022-01266-6) ዝተመሰረተ እዩ። እዚ ምግላጽ እዚ ካብ 17,000 ልዕሊ ጥናት ኣብ ጾታን ምትእስሳር ክሊማን ኣብ ልዕሊ ዓለም ዘሎ የጠቓልል። `, so: `Xogta xallinta waxaa ku saleysan dib-u-eegis habsami ah oo ku saabsan xalliyada isu-bedelka iyo caddaynta natiijooyinkooda jinsiga by [Roy, J., Prakash, A., Some, S. et al. (2022)](https://doi.org/10.1057/s41599-022-01266-6). Dib-u-eegistan waxaa ka kooban >17,000 daraasado ku saabsan jinsiga iyo isu-bedelka cimilada adduunka oo dhan. `, af: `Daataan furmaataa hiikkaa sirnaa furmaata wal-qixxummaa fi ragaa bifa dhalchii faalaa isaanii kan [Roy, J., Prakash, A., Some, S. et al. (2022)](https://doi.org/10.1057/s41599-022-01266-6) irratti hundaa'ee jira. Hiikkaan kun qorannoo >17,000 faalaa fi wal-qixxummaa haala qilleensaa addunyaa irratti hammata. ` } }, boundaries:{ title: {en: "Boundaries", am: "ድንበሮች", or: "Daangewwan", ti: "ዶሞታት", so: "Xuduudaha", af: "Daangewwan"}, text: { en: `[Administrative areas](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/boundary_catalog/geoBoundaries_SSA/collection.json) used in this notebook come from [geoBoundaries 6.0.0](https://github.com/wmgeolab/geoBoundaries). The gbHumanitarian boundaries are used and if not available then the gbOpen boundaries are substituted.`, am: `[አስተዳደራዊ አካባቢዎች](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/boundary_catalog/geoBoundaries_SSA/collection.json) በዚህ ኖትቡክ ውስጥ ጥቅም ላይ የዋሉት ከ [geoBoundaries 6.0.0](https://github.com/wmgeolab/geoBoundaries) የተወሰዱ ናቸው። gbHumanitarian ድንበሮች ጥቅም ላይ ይውላሉ እና ካልተገኙ በስተቀር gbOpen ድንበሮች ይተካሉ።`, or: `[Naannoo bulchiinsaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/boundary_catalog/geoBoundaries_SSA/collection.json) kan notebuka kana keessatti fayyadamnu [geoBoundaries 6.0.0](https://github.com/wmgeolab/geoBoundaries) irraa kan argame. Daangewwan gbHumanitarian fayyadamuun yoo hin argamin, daangewwan gbOpen bakka bu'u.`, ti: `[ዞባታት ኣስተዳድር](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/boundary_catalog/geoBoundaries_SSA/collection.json) ኣብዚ ኖትቡክ ዝተጠቕሙ ካብ [geoBoundaries 6.0.0](https://github.com/wmgeolab/geoBoundaries) ዝመጹ እዮም። ዶሞታት gbHumanitarian ይጥቀሙ፣ እንተዘይተረኽቡ ከኣ ዶሞታት gbOpen ይትከሉ።`, so: `[Goobaha maamulka](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/boundary_catalog/geoBoundaries_SSA/collection.json) ee la isticmaalay notebook-kan waxaa laga soo qaatay [geoBoundaries 6.0.0](https://github.com/wmgeolab/geoBoundaries). Xuduudaha gbHumanitarian ayaa la isticmaalaa haddii aan la helin xuduudaha gbOpen ayaa loo beddelaa.`, af: `[Naannoo bulchiinsaa](https://radiantearth.github.io/stac-browser/#/external/digital-atlas.s3.amazonaws.com/stac/public_stac/boundary_catalog/geoBoundaries_SSA/collection.json) kan notebuka kana keessatti fayyadamnu [geoBoundaries 6.0.0](https://github.com/wmgeolab/geoBoundaries) irraa kan argame. Daangewwan gbHumanitarian fayyadamuun yoo hin argamin, daangewwan gbOpen bakka bu'u.` } } }, methods: { title: {en: "Methods", am: "ዘዴዎች", or: "Malaalee", ti: "ሜላታት", so: "Hababka", af: "Gatnaaweewwan"}, WomenInAg: { title: {en: "Number of Women in Agriculture", am: "በስነ-ምግብ ልማት ውስጥ ያሉ ሴቶች ብዛት", or: "Lakkoofsa Dubartootaa Qonnaa Keessatti Jiran", ti: "ቁጽሪ ኣንስተይቲ ኣብ ስርሒት ኩርሲ ዘለዉ", so: "Tirada Haweenka Ku Shaqeeya Beeraha", af: "Lakkoofsa Afarimtoo Qonnaa Keessatti Jiran"}, text: { en: `The female population data was multiplied by the estimated percentage of women involved with agriculture for each respective region. We then extracted this data by admin 1 boundaries to create the final dataset showing the total number of women working in agriculture within each country and admin 1 region.`, am: `የሴት ሕዝብ ውሂብ በእያንዳንዱ ክልል በስነ-ምግብ ልማት ውስጥ የሚሳተፉ ሴቶች መቶኛ ተባዝቷል። ከዚያም ይህንን ውሂብ በአስተዳደር 1 ድንበሮች አውጥተን በእያንዳንዱ አገር እና በአስተዳደር 1 ክልል ውስጥ በስነ-ምግብ ልማት ውስጥ የሚሠሩ ሴቶች አጠቃላይ ብዛት የሚያሳይ የመጨረሻ የውሂብ ስብስብ ፈጥረናል።`, or: `Daataan baay'ina dubartootaa dhibbaan ka'ii madaala dubartootaa qonnaa keessatti himaataman naannoo adda addaaf baay'ifame. Ergasii daataan kun daangee bulchiinsaa 1 tiin fudhatamee, daataan xumuraa kan lakkoofsa guutuu dubartootaa qonnaa keessatti hojjetan biyya adda addaa fi naannoo bulchiinsaa 1 tokko tokko keessatti agarsiisu uumne.`, ti: `ዳታ ብዝሒ ኣንስተይቲ ብሚእታዊት ግምት ኣንስተይቲ ኣብ ስርሒት ኩርሲ ዝሳተፋ ንነፍሲ ወከፍ ክልል ተባዕለ። ድሕሪኡ ነዚ ዳታ እዚ ብዶሞ ኣስተዳድር 1 ኣውጺእና፣ ዳታ ስብስብ ናይ መወዳእታ እተፈላለየ ሃገርን ዞባ ኣስተዳድር 1ን ኣብ ውሽጡ ኣብ ስርሒት ኩርሲ ዝሰርሓ ኣንስተይቲ ዝቑጽር ጠቕላላ ቁጽሪ የንጸባርቕ ፈጢርና።`, so: `Xogta tirada dadka haweenka ah waxaa lagu dhuftay boqolaalka la qiimeeyay ee haweenka ku lug leh beeraha gobol kasta. Kadibna waxaan ka soo saarnay xogtani iyadoo la isticmaalayo xuduudaha maamulka 1 si aan u abuurno xog-ururinta ugu dambeeya ee muujinaysa tirada guud ee haweenka ku shaqeeya beeraha gudaha dalka kasta iyo gobolka maamulka 1.`, af: `Daataan baay'ina afarimtoo dhibbaan ka'ii madaala afarimtoo qonnaa keessatti himaataman naannoo adda addaaf baay'ifame. Ergasii daataan kun daangee bulchiinsaa 1 tiin fudhatamee, daataan xumuraa kan lakkoofsa guutuu afarimtoo qonnaa keessatti hojjetan daanta adda addaa fi naannoo bulchiinsaa 1 tokko tokko keessatti agarsiisu uumne.` } }, hotspots : { title: {en: "Heat Stress and Gender Hot Spots", am: "የሙቀት ጫና እና የጾታ ሞቃት ነጥቦች", or: "Dhibbata Ho'aa fi Bakka Gammachuu Faalaa", ti: "ጽቕጥ ሙቀትን ነጥብ ውሑድ ጾታን", so: "Cadaadis Kulul iyo Meelaha Kulul ee Jinsiga", af: "Dhibbata Ho'aa fi Bakka Gammachuu Faalaa"}, text: { en: ` Human, crop, and livestock heat stress and the female empowerment datasets were extracted to admin boundaries to get the average value for each region. Following this, we classified the heat stress data according to the following severity thresholds: | Category | Low Threshold | Moderate Threshold | High Threshold | |---|---|---|---| | Human | <27 | 27-41 | >41 | | Crop | <9 | 9-25 | >25 | | Livestock | <72| 72-90 | >90 | The number of Women involved in agriculture, along with the female empowerment and well-being variables were classified according to the tertile distribution of the datasets. We then overlaid these two classified datasets to highlight regions of high heat stress and high numbers of women involved in agriculture and areas with high heat stress and low female empowerment and well-being. `, am: ` የሰው፣ የአዝዎች እና የእንስሳት ሙቀት ጫና እና የሴት ኃይለኛነት ውሂብ ስብስቦች ለእያንዳንዱ ክልል አማካይ እሴት ለማግኘት ወደ አስተዳደር ድንበሮች ተወስደዋል። ከዚህ በኋላ፣ የሙቀት ጫና ውሂብ በሚከተሉት የከፍተኛነት ደረጃዎች መሰረት አደረግን። | ምድብ | ዝቅተኛ ደረጃ | መካከለኛ ደረጃ | ከፍተኛ ደረጃ | |---|---|---|---| | ሰው | <27 | 27-41 | >41 | | አዝዎች | <9 | 9-25 | >25 | | እንስሳት | <72| 72-90 | >90 | በስነ-ምግብ ልማት ውስጥ የሚሳተፉ ሴቶች ብዛት፣ ከሴት ኃይለኛነት እና ደህንነት ተለዋዋጮች ጋር በውሂብ ስብስቦች የሦስተኛ ክፍል ስርጭት መሰረት ተከፍለዋል። ከዚያም እነዚህን ሁለት የተከፋፈሉ የውሂብ ስብስቦች አዋህደን ከፍተኛ የሙቀት ጫና እና ከፍተኛ ቁጥር ያላቸው በስነ-ምግብ ልማት ውስጥ የሚሳተፉ ሴቶች ያሉባቸውን ክልሎች እና ከፍተኛ የሙቀት ጫና እና ዝቅተኛ የሴት ኃይለኛነት እና ደህንነት ያላቸውን አካባቢዎች ለማጉላት አዋህደናል።`, or: ` Dhibbata ho'aa namootaa, alangeessaa, fi beyladaa fi daataan danda'ama dubartootaa daangee bulchiinsaatiin fudhatamee, gatii giddu gala naannoo hundaaf argachuuf. Kana hordofuun, daataan dhibbata ho'aa sadarkaa cimaa armaan gadii waliin qoqqoodne: | Garee | Sadarkaa Gadi aanaa | Sadarkaa Giddu gala | Sadarkaa Ol aanaa | |---|---|---|---| | Nama | <27 | 27-41 | >41 | | Alangeessaa | <9 | 9-25 | >25 | | Beyladaa | <72| 72-90 | >90 | Lakkoofsa Dubartootaa qonnaa keessatti himaataman, waliin danda'ama dubartootaa fi jijjiiramaalee fayyaa qoqqoodamuu sadarkaa sadeessaa daataatiin qoqqoodaman. Ergasii madaalliin daataa qoqqoodamaa lama kana wal irra kaafne, naannoo dhibbata ho'aa ol aanaa fi lakkoofsa ol aanaa dubartootaa qonnaa keessatti himaataman qaban fi naannoo dhibbata ho'aa ol aanaa fi danda'ama dubartootaa fi fayyaa gadi aanaa qaban mul'isuu.`, ti: ` ጽቕጥ ሙቀት ሰብ፣ ዝመጽእ እኽል፣ ከምኡ'ውን እንስሳ፣ ከምኡ'ውን ዳታ ስብስብ ሓይሊ ኣንስተይቲ ናብ ዶሞ ኣስተዳድር ተወሰዱ፣ ንነፍሲ ወከፍ ክልል ንማእከላይ ዋጋ ንምርካብ። ድሕሪ እዚ፣ ነቲ ዳታ ጽቕጥ ሙቀት ብዝስዕብ ደረጃ ከቢድነት መሰረት ክፍልፋል ኢና። | ምድብ | ዝተወሰነ ደረጃ ትሑት | ዝተወሰነ ደረጃ ማእከላይ | ዝተወሰነ ደረጃ ልዑል | |---|---|---|---| | ሰብ | <27 | 27-41 | >41 | | ዝመጽእ እኽሊ | <9 | 9-25 | >25 | | እንስሳ | <72| 72-90 | >90 | ቁጽሪ ኣንስተይቲ ኣብ ስርሒት ኩርሲ ዝሳተፋ፣ ምስ ሓይሊ ኣንስተይቲን ተለዋዋጥ ጽቡቕ ህይወትን ብስርጐም ስርጭት ዳታ ስብስብ መሰረት ክፍልፋል ኢና። ድሕሪኡ ነዚ ክልተ ዝተኸፋፈለ ዳታ ስብስብ ኣብ ልዕሊ ኣንቢርና፣ ንክልል ልዑል ጽቕጥ ሙቀትን ልዑል ቁጽሪ ኣንስተይቲ ኣብ ስርሒት ኩርሲ ዝሳተፋ ዘለዉን ከምኡ'ውን ንኸባቢ ልዑል ጽቕጥ ሙቀትን ትሑት ሓይሊ ኣንስተይቲን ጽቡቕ ህይወትን ዘለዎምን ንምጉላሕ ኣንቢርና።`, so: ` Cadaadiska kulul ee dadka, dalagyada, iyo xoolaha iyo xog-ururinta awoodda haweenka waxaa loo soo saaray xuduudaha maamulka si loo helo qiimaha celceliska ah ee gobol kasta. Kadibna, waxaan u kala saarnay xogta cadaadiska kulul iyadoo la raacayo xaddadaha ugu sarreeya ee soo socda: | Qaybta | Xaddada Hoose | Xaddada Dhexe | Xaddada Sare | |---|---|---|---| | Dadka | <27 | 27-41 | >41 | | Dalagyada | <9 | 9-25 | >25 | | Xoolaha | <72| 72-90 | >90 | Tirada haweenka ku lug leh beeraha, iyadoo la raacayo doorsoomayaasha awoodda haweenka iyo wanaagsanida waxaa loo kala saaray iyadoo la raacayo qaybinta sedexda qaybood ee xog-ururinta. Kadibna waxaan isku dhufnay labadan xog-urur oo kala saaran si aan u soo bandhigno gobollada leh cadaadis kulul oo sarreysa iyo tirada sare ee haweenka ku lug leh beeraha iyo meelaha leh cadaadis kulul oo sarreysa iyo awood hooseeya haweenka iyo wanaagsanida.`, af: ` Dhibbata ho'aa namootaa, akkataa qonnaan oomishaan, fi beyladaa fi daataan danda'ama afarimtoo daangee bulchiinsaatiin fudhatamee, gatii giddu gala naannoo hundaaf argachuuf. Kana hordofuun, daataan dhibbata ho'aa sadarkaa cimaa armaan gadii waliin qoqqoodne: | Garee | Sadarkaa Gadi aanaa | Sadarkaa Giddu gala | Sadarkaa Ol aanaa | |---|---|---|---| | Nama | <27 | 27-41 | >41 | | Akkataa qonnaan oomishaan | <9 | 9-25 | >25 | | Beyladaa | <72| 72-90 | >90 | Lakkoofsa Afarimtoo qonnaa keessatti himaataman, waliin danda'ama afarimtoo fi jijjiiramaalee fayyaa qoqqoodamuu sadarkaa sadeessaa daataatiin qoqqoodaman. Ergasii madaalliin daataa qoqqoodamaa lama kana wal irra kaafne, naannoo dhibbata ho'aa ol aanaa fi lakkoofsa ol aanaa afarimtoo qonnaa keessatti himaataman qaban fi naannoo dhibbata ho'aa ol aanaa fi danda'ama afarimtoo fi fayyaa gadi aanaa qaban mul'isuu.` } }, solutions: { title: {en: "Adaptation Solutions", am: "የመላመድ መፍትሄዎች", or: "Furmaata Wal-qixxummaa", ti: "መፍትሐታት ምትእስሳር", so: "Xalliyada Isu-bedelka", af: "Furmaata Wal-qixxummaa"}, text: { en: `The solutions data was subset by studies that were focused on agriculture and located in Africa. The resulting adaptive solutions were grouped in four key categories: - Financial mechanisms and knowledge management (including studies on insurance, credit, and microfinance) - Migration - Natural resource management - Biodiversity conservation - Livelihood diversification The adaptation category, intervention, gender outcome score (SDG 5 score), geography, risk, and degree of agreement from each of these studies was extracted for inclusion in the table.`, am: `የመፍትሄው ውሂብ በስነ-ምግብ ልማት ላይ ያተኮሩ እና በአፍሪካ ውስጥ በሚገኙ ጥናቶች ተከፍሏል። የተገኙት የመላመድ መፍትሄዎች በአራት ዋና ምድቦች ተከፍለዋል። - የፋይናንስ ሜካኒዝሞች እና የእውቀት አስተዳደር (በኢንሹራንስ፣ በክሬዲት እና በማይክሮፋይናንስ ላይ ያሉ ጥናቶችን ጨምሮ) - ስደት - የተፈጥሮ ሀብት አስተዳደር - የባዮ-ዲየቭርሲቲ ጥበቃ - የመኖርያ ሁኔታ ማሟያ የመላመድ ምድብ፣ ጣልቃ ገብነት፣ የጾታ ውጤት ነጥብ (SDG 5 ነጥብ)፣ ጂኦግራፊ፣ አደጋ እና የስምምነት ደረጃ ከእያንዳንዱ እነዚህ ጥናቶች ለሰንጠረዡ ለማካተት ተወስደዋል።`, or: `Daataan furmaataa qorannoo qonnaa irratti xiyyeeffatanii Afrika keessatti argaman irratti hundaa'ee qoqqoodame. Furmaatni wal-qixxummaa argame garee afur gurguddaa keessatti walitti qabame: - Makanizimii maallaqaa fi bulchiinsa beekumsaa (qorannoo inshuuraansii, liqii, fi maayikirofaayinaansii dabalata) - Godaansaa - Bulchiinsa qabeenya uumamaa - Eegumsa bal'ina uumamaa - Garaagarummaa jireenyaa Gareen wal-qixxummaa, tarkaanfii, qarshii bu'aa faalaa (qarshii SDG 5), joograafii, balaa, fi sadarkaa waliigalaa qorannoo hunda irraa fudhatame, laafeesa keessatti dachaa'uuf.`, ti: `ዳታ መፍትሐታት ብጥናት ኣብ ስርሒት ኩርሲ ዝተመዘነን ኣብ ኣፍሪቃ ዝርከብን ተኸፊሉ። እቶም ዝተገኙ መፍትሐታት ምትእስሳር ኣብ ኣርባዕተ ቀንዲ ምድብ ተኸፊሎም። - ዓይነት ፋይናንስን ምምሕዳር ፍልጠትን (ጥናት ኣብ ኢንሹራንስ፣ ክሬዲት፣ ማይክሮፋይናንስ የጠቓልል) - ስደት - ምምሕዳር ሃብቲ ተፈጥሮ - ምክልኻል ባዮዳይቨርሲቲ - ምዝርያር መኖርያ ኩነታት ምድብ ምትእስሳር፣ ምግባር፣ ነጥብ ውጽኢት ጾታ (ነጥብ SDG 5)፣ ጂኦግራፊ፣ ሓደጋ፣ ከምኡ'ውን ደረጃ ስምምዕ ካብ ነፍሲ ወከፍ እዞም ጥናትታት እዚኦም ንሰንጠረዥ ንምእታው ተወሰዱ።`, so: `Xogta xallinta waxaa loo kala qaybiyay daraasadooyinka lagu xidhay beeraha iyo kuwa ku yaala Afrika. Xalliyada isu-bedelka ee la soo saaray waxaa loo kala qaybiyay afar qaybood oo muhim ah: - Qaabab maaliyadeed iyo maareynta aqoonta (oo ku jira daraasado ku saabsan damaanad, amaah, iyo maikroqaad) - Guurka - Maareynta khayraadka dabiiciga ah - Ilaalinta kala duwanaanta noolaha - Kala duwanaanshaha nolosha Qaybta isu-bedelka, tallaabada, dhibcaha natiijada jinsiga (dhibcaha SDG 5), juqraafiga, khatarta, iyo heerka heshiiska ee daraasadda kasta waxaa loo soo saaray si loo daro miiska.`, af: `Daataan furmaataa qorannoo qonnaa irratti xiyyeeffatanii Afrika keessatti argaman irratti hundaa'ee qoqqoodame. Furmaatni wal-qixxummaa argame garee afur gurguddaa keessatti walitti qabame: - Makanizimii maallaqaa fi bulchiinsa beekumsaa (qorannoo inshuuraansii, liqii, fi maayikirofaayinaansii dabalata) - Godaansaa - Bulchiinsa qabeenya uumamaa - Eegumsa bal'ina uumamaa - Garaagarummaa jireenyaa Gareen wal-qixxummaa, tarkaanfii, qarshii bu'aa faalaa (qarshii SDG 5), joograafii, balaa, fi sadarkaa waliigalaa qorannoo hunda irraa fudhatame, laafeesa keessatti dachaa'uuf.` } } } }, Appendix: { title: {en: "Appendix", am: "ተጨማሪ", or: "Dabalata", ti: "ደራሽባ", so: "Lifaaqa", af: "Dabalata"} }, General: { low: {en: "Low", am: "ዝቅተኛ", or: "Gadi aanaa", ti: "ትሑት", so: "Hoose", af: "Gadi aanaa"}, moderate: {en: "Moderate", am: "መካከለኛ", or: "Giddu gala", ti: "ማእከላይ", so: "Dhexe", af: "Giddu gala"}, high: {en: "High", am: "ከፍተኛ", or: "Ol aanaa", ti: "ልዑል", so: "Sare", af: "Ol aanaa"}, more: {en: "more", am: "ተጨማሪ", or: "Dabalata", ti: "ዝያዳ", so: "Dheeraad", af: "Dabalata"}, less: {en: "less", am: "በትንሹ", or: "Xiqqaa", ti: "ንእሽቶ", so: "Yar", af: "Xiqqaa"}, mean: {en: "Average", am: "አማካይ", or: "Giddu gala", ti: "ማእከላይ", so: "Celcelis", af: "Giddu gala"}, regional_avg: {en: "Regional Average", am: "የክልል አማካይ", or: "Giddu gala Naannoo", ti: "ማእከላይ ክልል", so: "Celceliska Gobolka", af: "Giddu gala Naannoo"}, national_avg: {en: "Country Average", am: "የአገር አማካይ", or: "Giddu gala Biyya", ti: "ማእከላይ ሃገር", so: "Celceliska Dalka", af: "Giddu gala Daanta"}, "country" : {en: "Country", am: "አገር", or: "Biyya", ti: "ሃገር", so: "Dalka", af: "Daanta"}, "region": {en: "Region", am: "ክልል", or: "Naannoo", ti: "ክልል", so: "Gobol", af: "Naannoo"}, "scenario" : {en: "Scenario", am: "እቅድ", or: "Haala", ti: "ስትራተጂ", so: "Mawduuc", af: "Haala"}, 'historic' : {en: "Historic", am: "ታሪካዊ", or: "Seenaa", ti: "ታሪኻዊ", so: "Taariikhi", af: "Seenaa"}, noDataAvailable : {en: "No Data Available", am: "ውሂብ የለም", or: "Daataa Hin Argamne", ti: "ዳታ የለን", so: "Xog Ma Laha", af: "Daataa Hin Argamne"}, adminNames: { "Full Country" : {en: "Full Country", am: "ሙሉ አገር", or: "Biyya Guutuu", ti: "ምሉእ ሃገር", so: "Dalka Oo Dhammestiran", af: "Daanta Guutuu"}, "Angola": { "en": "Angola", "am": "አንጎላ", "or": "Angoolaa", "ti": "ኣንጎላ", "so": "Angoola", "af": "Angoolaa" }, "Benin": { "en": "Benin", "am": "ቤኒን", "or": "Beniin", "ti": "ቤኒን", "so": "Biniin", "af": "Beniin" }, "Botswana": { "en": "Botswana", "am": "ቦትስዋና", "or": "Botswaanaa", "ti": "ቦትስዋና", "so": "Botswana", "af": "Botswaanaa" }, "Burkina Faso": { "en": "Burkina Faso", "am": "ቡርኪና ፋሶ", "or": "Burkinaa Faasoo", "ti": "ቡርኪና ፋሶ", "so": "Burkina Faso", "af": "Burkinaa Faasoo" }, "Burundi": { "en": "Burundi", "am": "ቡሩንዲ", "or": "Burundii", "ti": "ቡሩንዲ", "so": "Burundi", "af": "Burundii" }, "Cameroon": { "en": "Cameroon", "am": "ካሜሩን", "or": "Kameruun", "ti": "ካሜሩን", "so": "Kameroon", "af": "Kameruun" }, "Central African Republic": { "en": "Central African Republic", "am": "የመካከለኛው አፍሪካ ሪፐብሊክ", "or": "Riippabiliika Afrikkaa Giddu Galeessaa", "ti": "ሪፓብሊክ ማእከላይ ኣፍሪቃ", "so": "Jamhuuriyadda Afrikada Dhexe", "af": "Riippabiliika Afrikkaa Giddu Galeessaa" }, "Chad": { "en": "Chad", "am": "ቻድ", "or": "Chaad", "ti": "ቻድ", "so": "Jaad", "af": "Chaad" }, "Congo - Brazzaville": { "en": "Congo - Brazzaville", "am": "ኮንጎ - ብራዛቪል", "or": "Kongoo - Biraazaviil", "ti": "ኮንጎ - ብራዛቪል", "so": "Kongo - Brazzaville", "af": "Kongoo - Biraazaviil" }, "Congo - Kinshasa": { "en": "Congo - Kinshasa", "am": "ኮንጎ - ኪንሻሳ", "or": "Kongoo - Kinshaasaa", "ti": "ኮንጎ - ኪንሻሳ", "so": "Kongo - Kinshasa", "af": "Kongoo - Kinshaasaa" }, "Côte d'Ivoire": { "en": "Côte d'Ivoire", "am": "ኮት ዲቯር", "or": "Koot Diivoo'ire", "ti": "ኮት ዲቯር", "so": "Côte d'Ivoire", "af": "Koot Diivoo'ire" }, "Djibouti": { "en": "Djibouti", "am": "ጅቡቲ", "or": "Jibuutii", "ti": "ጅቡቲ", "so": "Jabuuti", "af": "Jibuutii" }, "Equatorial Guinea": { "en": "Equatorial Guinea", "am": "ኢኳቶሪያል ጊኒ", "or": "Gini Ekwatoriaal", "ti": "ኢኳቶሪያል ጊኒ", "so": "Equatorial Guinea", "af": "Gini Ekwatoriaal" }, "Eritrea": { "en": "Eritrea", "am": "ኤርትራ", "or": "Eertiraa", "ti": "ኤርትራ", "so": "Eritreeya", "af": "Eertiraa" }, "Eswatini": { "en": "Eswatini", "am": "ኢስዋቲኒ", "or": "Eswaatini", "ti": "ኢስዋቲኒ", "so": "Eswatini", "af": "Eswaatini" }, "Ethiopia": { "en": "Ethiopia", "am": "ኢትዮጵያ", "or": "Itoophiyaa", "ti": "ኢትዮጵያ", "so": "Itoobiya", "af": "Itoophiyaa" }, "Gabon": { "en": "Gabon", "am": "ጋቦን", "or": "Gaaboon", "ti": "ጋቦን", "so": "Gaboon", "af": "Gaaboon" }, "Gambia": { "en": "Gambia", "am": "ጋምቢያ", "or": "Gaambiyaa", "ti": "ጋምቢያ", "so": "Gambiya", "af": "Gaambiyaa" }, "Ghana": { "en": "Ghana", "am": "ጋና", "or": "Gaanaa", "ti": "ጋና", "so": "Gaana", "af": "Gaanaa" }, "Guinea": { "en": "Guinea", "am": "ጊኒ", "or": "Ginii", "ti": "ጊኒ", "so": "Gini", "af": "Ginii" }, "Guinea-Bissau": { "en": "Guinea-Bissau", "am": "ጊኒ-ቢሳው", "or": "Ginii-Bisaaw'uu", "ti": "ጊኒ-ቢሳው", "so": "Gini-Bisaaw", "af": "Ginii-Bisaaw'uu" }, "Kenya": { "en": "Kenya", "am": "ኬንያ", "or": "Keeniyaa", "ti": "ኬንያ", "so": "Kenya", "af": "Keeniyaa" }, "Lesotho": { "en": "Lesotho", "am": "ሌሶቶ", "or": "Leesotoo", "ti": "ሌሶቶ", "so": "Lesotho", "af": "Leesotoo" }, "Liberia": { "en": "Liberia", "am": "ላይቤሪያ", "or": "Laayibeeriyaa", "ti": "ላይቤሪያ", "so": "Laybeeriya", "af": "Laayibeeriyaa" }, "Madagascar": { "en": "Madagascar", "am": "ማዳጋስካር", "or": "Madaagaaskaar", "ti": "ማዳጋስካር", "so": "Madagaskar", "af": "Madaagaaskaar" }, "Malawi": { "en": "Malawi", "am": "ማላዊ", "or": "Malaawii", "ti": "ማላዊ", "so": "Malawi", "af": "Malaawii" }, "Mali": { "en": "Mali", "am": "ማሊ", "or": "Maalii", "ti": "ማሊ", "so": "Maali", "af": "Maalii" }, "Mauritania": { "en": "Mauritania", "am": "ሞሪቴኒያ", "or": "Mawuriteeniyaa", "ti": "ሞሪቴኒያ", "so": "Muritaaniya", "af": "Mawuriteeniyaa" }, "Mozambique": { "en": "Mozambique", "am": "ሞዛምቢክ", "or": "Moozambiik", "ti": "ሞዛምቢክ", "so": "Musambiik", "af": "Moozambiik" }, "Namibia": { "en": "Namibia", "am": "ናሚቢያ", "or": "Naamiibiyaa", "ti": "ናሚቢያ", "so": "Namiibiya", "af": "Naamiibiyaa" }, "Niger": { "en": "Niger", "am": "ኒጀር", "or": "Naayijer", "ti": "ኒጀር", "so": "Nayjer", "af": "Naayijer" }, "Nigeria": { "en": "Nigeria", "am": "ናይጄሪያ", "or": "Naayijeeriyaa", "ti": "ናይጄሪያ", "so": "Nayjeeriya", "af": "Naayijeeriyaa" }, "Rwanda": { "en": "Rwanda", "am": "ሩዋንዳ", "or": "Ruwandaa", "ti": "ሩዋንዳ", "so": "Ruwanda", "af": "Ruwandaa" }, "Senegal": { "en": "Senegal", "am": "ሴኔጋል", "or": "Senegaal", "ti": "ሴኔጋል", "so": "Senegaal", "af": "Senegaal" }, "Sierra Leone": { "en": "Sierra Leone", "am": "ሴራሊዮን", "or": "Siiraa Le'oon", "ti": "ሴራሊዮን", "so": "Siiraaliyoon", "af": "Siiraa Le'oon" }, "Somalia": { "en": "Somalia", "am": "ሶማሊያ", "or": "Somaaliyaa", "ti": "ሶማሊያ", "so": "Soomaaliya", "af": "Somaaliyaa" }, "South Africa": { "en": "South Africa", "am": "ደቡብ አፍሪካ", "or": "Afrikaa Kibbaa", "ti": "ደቡብ ኣፍሪቃ", "so": "Koonfur Afrika", "af": "Afrikaa Kibbaa" }, "South Sudan": { "en": "South Sudan", "am": "ደቡብ ሱዳን", "or": "Sudaan Kibbaa", "ti": "ደቡብ ሱዳን", "so": "Koonfur Suudaan", "af": "Sudaan Kibbaa" }, "Sudan": { "en": "Sudan", "am": "ሱዳን", "or": "Sudaan", "ti": "ሱዳን", "so": "Suudaan", "af": "Sudaan" }, "Tanzania": { "en": "Tanzania", "am": "ታንዛኒያ", "or": "Tanzaaniyaa", "ti": "ታንዛኒያ", "so": "Tansaaniya", "af": "Tanzaaniyaa" }, "Togo": { "en": "Togo", "am": "ቶጎ", "or": "Toogoo", "ti": "ቶጎ", "so": "Toogo", "af": "Toogoo" }, "Uganda": { "en": "Uganda", "am": "ኡጋንዳ", "or": "Ugaandaa", "ti": "ኡጋንዳ", "so": "Ugaanda", "af": "Ugaandaa" }, "Zambia": { "en": "Zambia", "am": "ዛምቢያ", "or": "Zaambiyaa", "ti": "ዛምቢያ", "so": "Zambiya", "af": "Zaambiyaa" }, "Zimbabwe": { "en": "Zimbabwe", "am": "ዚምባብዌ", "or": "Ziimbaabuwee", "ti": "ዚምባብዌ", "so": "Zimbabwe", "af": "Ziimbaabuwee" }, "SSA": { "en": "SSA", "am": "ከሰሃራ በታች አፍሪካ", "or": "SSA", "ti": "SSA", "so": "SSA", "af": "SSA" }, "Sub-Saharan Africa": { "en": "Sub-Saharan Africa", "am": "ከሰሃራ በታች አፍሪካ", "or": "Afrikaa Saahaaraa Gadii", "ti": "ኣፍሪቃ ትሕቲ ሰሃራ", "so": "Afrikada Hoosaysa Saaxaara", "af": "Afrikaa Saahaaraa Gadii" }, }, article_adminNames: { "Full Country" : {en: "Full Country", am: "ሙሉ አገር", or: "Biyya Guutuu", ti: "ምሉእ ሃገር", so: "Dalka Oo Dhammestiran", af: "Daanta Guutuu"}, "Angola": { "en": "Angola", "am": "አንጎላ", "or": "Angoolaa", "ti": "ኣንጎላ", "so": "Angoola", "af": "Angoolaa" }, "Benin": { "en": "Benin", "am": "ቤኒን", "or": "Beniin", "ti": "ቤኒን", "so": "Biniin", "af": "Beniin" }, "Botswana": { "en": "Botswana", "am": "ቦትስዋና", "or": "Botswaanaa", "ti": "ቦትስዋና", "so": "Botswana", "af": "Botswaanaa" }, "Burkina Faso": { "en": "Burkina Faso", "am": "ቡርኪና ፋሶ", "or": "Burkinaa Faasoo", "ti": "ቡርኪና ፋሶ", "so": "Burkina Faso", "af": "Burkinaa Faasoo" }, "Burundi": { "en": "Burundi", "am": "ቡሩንዲ", "or": "Burundii", "ti": "ቡሩንዲ", "so": "Burundi", "af": "Burundii" }, "Cameroon": { "en": "Cameroon", "am": "ካሜሩን", "or": "Kameruun", "ti": "ካሜሩን", "so": "Kameroon", "af": "Kameruun" }, "Central African Republic": { "en": "Central African Republic", "am": "የመካከለኛው አፍሪካ ሪፐብሊክ", "or": "Riippabiliika Afrikkaa Giddu Galeessaa", "ti": "ሪፓብሊክ ማእከላይ ኣፍሪቃ", "so": "Jamhuuriyadda Afrikada Dhexe", "af": "Riippabiliika Afrikkaa Giddu Galeessaa" }, "Chad": { "en": "Chad", "am": "ቻድ", "or": "Chaad", "ti": "ቻድ", "so": "Jaad", "af": "Chaad" }, "Congo - Brazzaville": { "en": "Congo - Brazzaville", "am": "ኮንጎ - ብራዛቪል", "or": "Kongoo - Biraazaviil", "ti": "ኮንጎ - ብራዛቪል", "so": "Kongo - Brazzaville", "af": "Kongoo - Biraazaviil" }, "Congo - Kinshasa": { "en": "Congo - Kinshasa", "am": "ኮንጎ - ኪንሻሳ", "or": "Kongoo - Kinshaasaa", "ti": "ኮንጎ - ኪንሻሳ", "so": "Kongo - Kinshasa", "af": "Kongoo - Kinshaasaa" }, "Côte d'Ivoire": { "en": "Côte d'Ivoire", "am": "ኮት ዲቯር", "or": "Koot Diivoo'ire", "ti": "ኮት ዲቯር", "so": "Côte d'Ivoire", "af": "Koot Diivoo'ire" }, "Djibouti": { "en": "Djibouti", "am": "ጅቡቲ", "or": "Jibuutii", "ti": "ጅቡቲ", "so": "Jabuuti", "af": "Jibuutii" }, "Equatorial Guinea": { "en": "Equatorial Guinea", "am": "ኢኳቶሪያል ጊኒ", "or": "Gini Ekwatoriaal", "ti": "ኢኳቶሪያል ጊኒ", "so": "Equatorial Guinea", "af": "Gini Ekwatoriaal" }, "Eritrea": { "en": "Eritrea", "am": "ኤርትራ", "or": "Eertiraa", "ti": "ኤርትራ", "so": "Eritreeya", "af": "Eertiraa" }, "Eswatini": { "en": "Eswatini", "am": "ኢስዋቲኒ", "or": "Eswaatini", "ti": "ኢስዋቲኒ", "so": "Eswatini", "af": "Eswaatini" }, "Ethiopia": { "en": "Ethiopia", "am": "ኢትዮጵያ", "or": "Itoophiyaa", "ti": "ኢትዮጵያ", "so": "Itoobiya", "af": "Itoophiyaa" }, "Gabon": { "en": "Gabon", "am": "ጋቦን", "or": "Gaaboon", "ti": "ጋቦን", "so": "Gaboon", "af": "Gaaboon" }, "Gambia": { "en": "Gambia", "am": "ጋምቢያ", "or": "Gaambiyaa", "ti": "ጋምቢያ", "so": "Gambiya", "af": "Gaambiyaa" }, "Ghana": { "en": "Ghana", "am": "ጋና", "or": "Gaanaa", "ti": "ጋና", "so": "Gaana", "af": "Gaanaa" }, "Guinea": { "en": "Guinea", "am": "ጊኒ", "or": "Ginii", "ti": "ጊኒ", "so": "Gini", "af": "Ginii" }, "Guinea-Bissau": { "en": "Guinea-Bissau", "am": "ጊኒ-ቢሳው", "or": "Ginii-Bisaaw'uu", "ti": "ጊኒ-ቢሳው", "so": "Gini-Bisaaw", "af": "Ginii-Bisaaw'uu" }, "Kenya": { "en": "Kenya", "am": "ኬንያ", "or": "Keeniyaa", "ti": "ኬንያ", "so": "Kenya", "af": "Keeniyaa" }, "Lesotho": { "en": "Lesotho", "am": "ሌሶቶ", "or": "Leesotoo", "ti": "ሌሶቶ", "so": "Lesotho", "af": "Leesotoo" }, "Liberia": { "en": "Liberia", "am": "ላይቤሪያ", "or": "Laayibeeriyaa", "ti": "ላይቤሪያ", "so": "Laybeeriya", "af": "Laayibeeriyaa" }, "Madagascar": { "en": "Madagascar", "am": "ማዳጋስካር", "or": "Madaagaaskaar", "ti": "ማዳጋስካር", "so": "Madagaskar", "af": "Madaagaaskaar" }, "Malawi": { "en": "Malawi", "am": "ማላዊ", "or": "Malaawii", "ti": "ማላዊ", "so": "Malawi", "af": "Malaawii" }, "Mali": { "en": "Mali", "am": "ማሊ", "or": "Maalii", "ti": "ማሊ", "so": "Maali", "af": "Maalii" }, "Mauritania": { "en": "Mauritania", "am": "ሞሪቴኒያ", "or": "Mawuriteeniyaa", "ti": "ሞሪቴኒያ", "so": "Muritaaniya", "af": "Mawuriteeniyaa" }, "Mozambique": { "en": "Mozambique", "am": "ሞዛምቢክ", "or": "Moozambiik", "ti": "ሞዛምቢክ", "so": "Musambiik", "af": "Moozambiik" }, "Namibia": { "en": "Namibia", "am": "ናሚቢያ", "or": "Naamiibiyaa", "ti": "ናሚቢያ", "so": "Namiibiya", "af": "Naamiibiyaa" }, "Niger": { "en": "Niger", "am": "ኒጀር", "or": "Naayijer", "ti": "ኒጀር", "so": "Nayjer", "af": "Naayijer" }, "Nigeria": { "en": "Nigeria", "am": "ናይጄሪያ", "or": "Naayijeeriyaa", "ti": "ናይጄሪያ", "so": "Nayjeeriya", "af": "Naayijeeriyaa" }, "Rwanda": { "en": "Rwanda", "am": "ሩዋንዳ", "or": "Ruwandaa", "ti": "ሩዋንዳ", "so": "Ruwanda", "af": "Ruwandaa" }, "Senegal": { "en": "Senegal", "am": "ሴኔጋል", "or": "Senegaal", "ti": "ሴኔጋል", "so": "Senegaal", "af": "Senegaal" }, "Sierra Leone": { "en": "Sierra Leone", "am": "ሴራሊዮን", "or": "Siiraa Le'oon", "ti": "ሴራሊዮን", "so": "Siiraaliyoon", "af": "Siiraa Le'oon" }, "Somalia": { "en": "Somalia", "am": "ሶማሊያ", "or": "Somaaliyaa", "ti": "ሶማሊያ", "so": "Soomaaliya", "af": "Somaaliyaa" }, "South Africa": { "en": "South Africa", "am": "ደቡብ አፍሪካ", "or": "Afrikaa Kibbaa", "ti": "ደቡብ ኣፍሪቃ", "so": "Koonfur Afrika", "af": "Afrikaa Kibbaa" }, "South Sudan": { "en": "South Sudan", "am": "ደቡብ ሱዳን", "or": "Sudaan Kibbaa", "ti": "ደቡብ ሱዳን", "so": "Koonfur Suudaan", "af": "Sudaan Kibbaa" }, "Sudan": { "en": "Sudan", "am": "ሱዳን", "or": "Sudaan", "ti": "ሱዳን", "so": "Suudaan", "af": "Sudaan" }, "Tanzania": { "en": "Tanzania", "am": "ታንዛኒያ", "or": "Tanzaaniyaa", "ti": "ታንዛኒያ", "so": "Tansaaniya", "af": "Tanzaaniyaa" }, "Togo": { "en": "Togo", "am": "ቶጎ", "or": "Toogoo", "ti": "ቶጎ", "so": "Toogo", "af": "Toogoo" }, "Uganda": { "en": "Uganda", "am": "ኡጋንዳ", "or": "Ugaandaa", "ti": "ኡጋንዳ", "so": "Ugaanda", "af": "Ugaandaa" }, "Zambia": { "en": "Zambia", "am": "ዛምቢያ", "or": "Zaambiyaa", "ti": "ዛምቢያ", "so": "Zambiya", "af": "Zaambiyaa" }, "Zimbabwe": { "en": "Zimbabwe", "am": "ዚምባብዌ", "or": "Ziimbaabuwee", "ti": "ዚምባብዌ", "so": "Zimbabwe", "af": "Ziimbaabuwee" }, "SSA": { "en": "SSA", "am": "ከሰሃራ በታች አፍሪካ", "or": "SSA", "ti": "SSA", "so": "SSA", "af": "SSA" }, "Sub-Saharan Africa": { "en": "Sub-Saharan Africa", "am": "ከሰሃራ በታች አፍሪካ", "or": "Afrikaa Saahaaraa Gadii", "ti": "ኣፍሪቃ ትሕቲ ሰሃራ", "so": "Afrikada Hoosaysa Saaxaara", "af": "Afrikaa Saahaaraa Gadii" }, }, download: { en: "Download Data", am: "ውሂብ አውርድ", or: "Daataa Buusaa", ti: "ዳታ ምውራድ", so: "Soo Deg Xogta", af: "Daataa Buusaa" } } })55:T3223,nbText=({ ...nbText1, ...nbText2, export: { heatmapParticipation: { title: { en: "Export heatmap:", am: "የሙቀት ካርታ ላክ:", or: "Haashii qabxii ba'aa:", ti: "ውጻኢ ሃሽ ሙቐት:", so: "Soo deji heatmap-ka:", af: "Haashii qabxii ba'aa:" }, chooseFormat: { en: "Choose format...", am: "የፎርማት ምርጫ...", or: "Qormaata filadhaa...", ti: "ሓይሊ ምረጹ...", so: "Dooro nooca...", af: "Qormaata filadhaa..." }, png: { en: "PNG (Image)", am: "PNG (ምስል)", or: "PNG (Suura)", ti: "PNG (ስእሊ)", so: "PNG (Sawir)", af: "PNG (Suura)" }, jpeg: { en: "JPEG (Image)", am: "JPEG (ምስል)", or: "JPEG (Suura)", ti: "JPEG (ስእሊ)", so: "JPEG (Sawir)", af: "JPEG (Suura)" }, svg: { en: "SVG (Vector)", am: "SVG (ቬክተር)", or: "SVG (Veektora)", ti: "SVG (ቬክተር)", so: "SVG (Vector)", af: "SVG (Veektora)" }, csv: { en: "CSV (Data)", am: "CSV (ውሂብ)", or: "CSV (Daata)", ti: "CSV (ውሂብ)", so: "CSV (Xogta)", af: "CSV (Daata)" }, json: { en: "JSON (Data)", am: "JSON (ውሂብ)", or: "JSON (Daata)", ti: "JSON (ውሂብ)", so: "JSON (Xogta)", af: "JSON (Daata)" }, heatmapNotFound: { en: "Heatmap SVG not found. Make sure plotHeatmapParticipation is rendered and this export cell is directly below it.", am: "የሙቀት ካርታ SVG አልተገኘም። plotHeatmapParticipation መገናኛ እንደሆነ ያረጋግጡ።", or: "Haashii qabxii SVG hin argamne. plotHeatmapParticipation mul'ata jiraachuu hubadhaa.", ti: "ሃሽ ሙቐት SVG ኣይተረኽበን። plotHeatmapParticipation ምስላ ከም ዝወሃብ ኣረጋግጹ።", so: "SVG-ga heatmap-ka ma la helin. Hubi in plotHeatmapParticipation lagu muujiyay.", af: "Haashii qabxii SVG hin argamne. plotHeatmapParticipation mul'ata jiraachuu hubadhaa." }, noDataAvailable: { en: "No data available for CSV export", am: "ለ CSV ላክ ውሂብ የለም", or: "Daataan ba'uu CSV irratti hin jiru", ti: "ንውጻኢ CSV ውሂብ የለን", so: "Xogta dhoofinta CSV ma jirto", af: "Daataan ba'uu CSV irratti hin jiru" }, noDataAvailableJson: { en: "No data available for JSON export", am: "ለ JSON ላክ ውሂብ የለም", or: "Daataan ba'uu JSON irratti hin jiru", ti: "ንውጻኢ JSON ውሂብ የለን", so: "Xogta dhoofinta JSON ma jirto", af: "Daataan ba'uu JSON irratti hin jiru" }, exportFailed: { en: "Export failed:", am: "ላክ አልተሳካም:", or: "Ba'e didde:", ti: "ውጻኢ ኣይዓወተን:", so: "Dhoofinta way fashilantay:", af: "Ba'e didde:" } }, heatmapProduction: { title: { en: "Export production heatmap:", am: "የምርት ሙቀት ካርታ ላክ:", or: "Haashii oomisha ba'aa:", ti: "ውጻኢ ሃሽ ምርሕቲ:", so: "Soo deji heatmap-ka soo saarista:", af: "Haashii oomisha ba'aa:" }, chooseFormat: { en: "Choose format...", am: "የፎርማት ምርጫ...", or: "Qormaata filadhaa...", ti: "ሓይሊ ምረጹ...", so: "Dooro nooca...", af: "Qormaata filadhaa..." }, png: { en: "PNG (Image)", am: "PNG (ምስል)", or: "PNG (Suura)", ti: "PNG (ስእሊ)", so: "PNG (Sawir)", af: "PNG (Suura)" }, jpeg: { en: "JPEG (Image)", am: "JPEG (ምስል)", or: "JPEG (Suura)", ti: "JPEG (ስእሊ)", so: "JPEG (Sawir)", af: "JPEG (Suura)" }, svg: { en: "SVG (Vector)", am: "SVG (ቬክተር)", or: "SVG (Veektora)", ti: "SVG (ቬክተር)", so: "SVG (Vector)", af: "SVG (Veektora)" }, csv: { en: "CSV (Data)", am: "CSV (ውሂብ)", or: "CSV (Daata)", ti: "CSV (ውሂብ)", so: "CSV (Xogta)", af: "CSV (Daata)" }, json: { en: "JSON (Data)", am: "JSON (ውሂብ)", or: "JSON (Daata)", ti: "JSON (ውሂብ)", so: "JSON (Xogta)", af: "JSON (Daata)" }, heatmapNotFound: { en: "Heatmap SVG not found. Make sure plotHeatmapProduction is rendered and this export cell is directly below it.", am: "የምርት ሙቀት ካርታ SVG አልተገኘም። plotHeatmapProduction መገናኛ እንደሆነ ያረጋግጡ።", or: "Haashii oomisha SVG hin argamne. plotHeatmapProduction mul'ata jiraachuu hubadhaa.", ti: "ሃሽ ምርሕቲ SVG ኣይተረኽበን። plotHeatmapProduction ምስላ ከም ዝወሃብ ኣረጋግጹ።", so: "SVG-ga heatmap-ka soo saarista ma la helin. Hubi in plotHeatmapProduction lagu muujiyay.", af: "Haashii oomisha SVG hin argamne. plotHeatmapProduction mul'ata jiraachuu hubadhaa." }, noDataAvailable: { en: "No data available for CSV export", am: "ለ CSV ላክ ውሂብ የለም", or: "Daataan ba'uu CSV irratti hin jiru", ti: "ንውጻኢ CSV ውሂብ የለን", so: "Xogta dhoofinta CSV ma jirto", af: "Daataan ba'uu CSV irratti hin jiru" }, noDataAvailableJson: { en: "No data available for JSON export", am: "ለ JSON ላክ ውሂብ የለም", or: "Daataan ba'uu JSON irratti hin jiru", ti: "ንውጻኢ JSON ውሂብ የለን", so: "Xogta dhoofinta JSON ma jirto", af: "Daataan ba'uu JSON irratti hin jiru" }, exportFailed: { en: "Export failed:", am: "ላክ አልተሳካም:", or: "Ba'e didde:", ti: "ውጻኢ ኣይዓወተን:", so: "Dhoofinta way fashilantay:", af: "Ba'e didde:" } }, empowermentLollipop: { title: { en: "Export empowerment lollipop chart (_20):", am: "የስልጣን ላሎፕ ቻርት ላክ (_20):", or: "Chaartii lollipop dandeettii ba'aa (_20):", ti: "ውጻኢ ቻርት lollipop ሓይሊ (_20):", so: "Soo deji chartaanka lollipop-ka awooda (_20):", af: "Chaartii lollipop dandeettii ba'aa (_20):" }, chooseFormat: { en: "Choose format...", am: "የፎርማት ምርጫ...", or: "Qormaata filadhaa...", ti: "ሓይሊ ምረጹ...", so: "Dooro nooca...", af: "Qormaata filadhaa..." }, png: { en: "PNG (Image)", am: "PNG (ምስል)", or: "PNG (Suura)", ti: "PNG (ስእሊ)", so: "PNG (Sawir)", af: "PNG (Suura)" }, jpeg: { en: "JPEG (Image)", am: "JPEG (ምስል)", or: "JPEG (Suura)", ti: "JPEG (ስእሊ)", so: "JPEG (Sawir)", af: "JPEG (Suura)" }, svg: { en: "SVG (Vector)", am: "SVG (ቬክተር)", or: "SVG (Veektora)", ti: "SVG (ቬክተር)", so: "SVG (Vector)", af: "SVG (Veektora)" }, csv: { en: "CSV (Country vs Regional Means)", am: "CSV (አገር ከክልላዊ አማካዮች)", or: "CSV (Biyya vs Giddu-gala Oomisha)", ti: "CSV (ኣገር ንኽልላዊ ማእከላት)", so: "CSV (Waddan vs dhexdooda gobolka)", af: "CSV (Biyya vs Giddu-gala Oomisha)" }, json: { en: "JSON (Country vs Regional Means)", am: "JSON (አገር ከክልላዊ አማካዮች)", or: "JSON (Biyya vs Giddu-gala Oomisha)", ti: "JSON (ኣገር ንኽልላዊ ማእከላት)", so: "JSON (Waddan vs dhexdooda gobolka)", af: "JSON (Biyya vs Giddu-gala Oomisha)" }, chartNotFound: { en: "Lollipop SVG not found from _20. Make sure _20 has rendered before using this export cell.", am: "የላሎፕ ቻርት SVG ከ _20 አልተገኘም። ይህን ላክ ሴል ከመጠቀምዎ በፊት _20 መገናኛ እንደሆነ ያረጋግጡ።", or: "SVG lollipop _20 irraa hin argamne. _20 dura mul'ata jiraachuu hubadhaa.", ti: "SVG lollipop ካብ _20 ኣይተረኽበን። _20 ቅድሚ ኣጠቃቅላ ከም ዝወሃብ ኣረጋግጹ።", so: "SVG-ga lollipop-ka _20 ma laga helin. Hubi in _20 lagu muujiyay ka hor intaad adeegsato.", af: "SVG lollipop _20 irraa hin argamne. _20 dura mul'ata jiraachuu hubadhaa." }, exportFailed: { en: "Export failed:", am: "ላክ አልተሳካም:", or: "Ba'e didde:", ti: "ውጻኢ ኣይዓወተን:", so: "Dhoofinta way fashilantay:", af: "Ba'e didde:" } }, bivariateMap: { title: { en: "Export bivariate map:", am: "የሁለት ተለዋዋጭ ካርታ ላክ:", or: "Maappii tuuta lamaa ba'aa:", ti: "ውጻኢ ካርታ ክልተ ተለዋዋጭ:", so: "Soo deji khariidadda laba doorsoome:", af: "Maappii tuuta lamaa ba'aa:" }, chooseFormat: { en: "Choose format...", am: "የፎርማት ምርጫ...", or: "Qormaata filadhaa...", ti: "ሓይሊ ምረጹ...", so: "Dooro nooca...", af: "Qormaata filadhaa..." }, png: { en: "PNG (Image)", am: "PNG (ምስል)", or: "PNG (Suura)", ti: "PNG (ስእሊ)", so: "PNG (Sawir)", af: "PNG (Suura)" }, jpeg: { en: "JPEG (Image)", am: "JPEG (ምስል)", or: "JPEG (Suura)", ti: "JPEG (ስእሊ)", so: "JPEG (Sawir)", af: "JPEG (Suura)" }, svg: { en: "SVG (Vector)", am: "SVG (ቬክተር)", or: "SVG (Veektora)", ti: "SVG (ቬክተር)", so: "SVG (Vector)", af: "SVG (Veektora)" }, pdf: { en: "PDF (Document)", am: "PDF (ሰነድ)", or: "PDF (Barruu)", ti: "PDF (ሰነድ)", so: "PDF (Dukumeenti)", af: "PDF (Barruu)" }, csv: { en: "CSV (Data)", am: "CSV (ውሂብ)", or: "CSV (Daata)", ti: "CSV (ውሂብ)", so: "CSV (Xogta)", af: "CSV (Daata)" }, json: { en: "JSON (Data)", am: "JSON (ውሂብ)", or: "JSON (Daata)", ti: "JSON (ውሂብ)", so: "JSON (Xogta)", af: "JSON (Daata)" }, geojson: { en: "GeoJSON (Geographic Data)", am: "GeoJSON (የጂኦግራፊ ውሂብ)", or: "GeoJSON (Daata Jiyoogiraafii)", ti: "GeoJSON (ውሂብ ጂኦግራፊ)", so: "GeoJSON (Xogta joogiraafiga)", af: "GeoJSON (Daata Jiyoogiraafii)" }, mapNotFound: { en: "Bivariate map not found. Make sure the map is rendered above this export cell.", am: "የሁለት ተለዋዋጭ ካርታ አልተገኘም። ካርታው ከዚህ ላክ ሴል በላይ መገናኛ እንደሆነ ያረጋግጡ።", or: "Maappii tuuta lamaa hin argamne. Maappii kutaa ba'aa kana olitti mul'ata jiraachuu hubadhaa.", ti: "ካርታ ክልተ ተለዋዋጭ ኣይተረኽበን። ካርታ ኣብ ላይ ናይዚ ውጻኢ ሴል ምስላ ከም ዝወሃብ ኣረጋግጹ።", so: "Khariidadda laba doorsoome ma la helin. Hubi in khariidaddu ka sarreysa xigta dhoofintan lagu muujiyay.", af: "Maappii tuuta lamaa hin argamne. Maappii kutaa ba'aa kana olitti mul'ata jiraachuu hubadhaa." }, noDataAvailable: { en: "No data available for export", am: "ለላክ ውሂብ የለም", or: "Daataan ba'uuuf hin jiru", ti: "ንውጻኢ ውሂብ የለን", so: "Xogta dhoofinta ma jirto", af: "Daataan ba'uuuf hin jiru" }, exportFailed: { en: "Export failed:", am: "ላክ አልተሳካም:", or: "Ba'e didde:", ti: "ውጻኢ ኣይዓወተን:", so: "Dhoofinta way fashilantay:", af: "Ba'e didde:" }, downloadFailed: { en: "Download failed:", am: "ማውረድ አልተሳካም:", or: "Laadachuu didde:", ti: "ምውራድ ኣይዓወተን:", so: "Soo dejinta way fashilantay:", af: "Laadachuu didde:" }, exportSuccess: { en: "Export successful", am: "ላክ ተሳክቷል", or: "Ba'e milkoofe", ti: "ውጻኢ ዓወተ", so: "Dhoofinta way ku guulaysatay", af: "Ba'e milkoofe" }, csvSuccess: { en: "CSV export successful", am: "የ CSV ላክ ተሳክቷል", or: "Ba'e CSV milkoofe", ti: "ውጻኢ CSV ዓወተ", so: "Dhoofinta CSV way ku guulaysatay", af: "Ba'e CSV milkoofe" }, jsonSuccess: { en: "JSON export successful", am: "የ JSON ላክ ተሳክቷል", or: "Ba'e JSON milkoofe", ti: "ውጻኢ JSON ዓወተ", so: "Dhoofinta JSON way ku guulaysatay", af: "Ba'e JSON milkoofe" }, geojsonSuccess: { en: "GeoJSON export successful", am: "የ GeoJSON ላክ ተሳክቷል", or: "Ba'e GeoJSON milkoofe", ti: "ውጻኢ GeoJSON ዓወተ", so: "Dhoofinta GeoJSON way ku guulaysatay", af: "Ba'e GeoJSON milkoofe" }, csvFailed: { en: "CSV export failed:", am: "የ CSV ላክ አልተሳካም:", or: "Ba'e CSV didde:", ti: "ውጻኢ CSV ኣይዓወተን:", so: "Dhoofinta CSV way fashilantay:", af: "Ba'e CSV didde:" }, jsonFailed: { en: "JSON export failed:", am: "የ JSON ላክ አልተሳካም:", or: "Ba'e JSON didde:", ti: "ውጻኢ JSON ኣይዓወተን:", so: "Dhoofinta JSON way fashilantay:", af: "Ba'e JSON didde:" }, geojsonFailed: { en: "GeoJSON export failed:", am: "የ GeoJSON ላክ አልተሳካም:", or: "Ba'e GeoJSON didde:", ti: "ውጻኢ GeoJSON ኣይዓወተን:", so: "Dhoofinta GeoJSON way fashilantay:", af: "Ba'e GeoJSON didde:" }, shapefile: { en: "Shapefile (GIS ZIP)", am: "Shapefile (GIS ZIP)", or: "Shapefile (GIS ZIP)", ti: "Shapefile (GIS ZIP)", so: "Shapefile (GIS ZIP)", af: "Shapefile (GIS ZIP)" }, shapefileSuccess: { en: "Shapefile export successful", am: "የ Shapefile ላክ ተሳክቷል", or: "Ba'e Shapefile milkoofe", ti: "ውጻኢ Shapefile ዓወተ", so: "Dhoofinta Shapefile way ku guulaysatay", af: "Ba'e Shapefile milkoofe" }, shapefileFailed: { en: "Shapefile export failed:", am: "የ Shapefile ላክ አልተሳካም:", or: "Ba'e Shapefile didde:", ti: "ውጻኢ Shapefile ኣይዓወተን:", so: "Dhoofinta Shapefile way fashilantay:", af: "Ba'e Shapefile didde:" } }} })56:T80f,stylingGeneral = { const ns = Inputs.text().classList?.[0]; return htl.html`` }57:T518,function tocOneliner({ selector = "h1", // selectors to include (can comma-separate, like "h1,h2,h3") heading = "In this notebook", // heading for ToC delim = " | ", // delimiter between links skip = [] // text content for headers to exclude } = {}) { // return a one-liner table of contents // allow for skips // modified from https://observablehq.com/@mbostock/toc return Generators.observe((notify) => { let headings = []; function observed() { let h = Array.from(document.querySelectorAll(selector)); h = h.filter((d) => !skip.includes(d.textContent)); if (h.length !== headings.length || h.some((h, i) => headings[i] !== h)) { notify( html`${heading}
${Array.from((headings = h), (h, i) => { const end = i === headings.length - 1; return Object.assign( html`${DOM.text(h.textContent)}${ end ? "" : delim }`, { onclick: (e) => (e.preventDefault(), h.scrollIntoView()) } ); })}` ); } } const observer = new MutationObserver(observed); observer.observe(document.body, { childList: true, subtree: true }); observed(); return () => observer.disconnect(); }); }58:T271a,hs_icons = new Object({ human: html``, crop: html``, livestock: html`` })59:T6626,country_flags = new Object({ Cameroon: html``, "Burkina Faso": html``, Tanzania: html``, Kenya: html``, Ethiopia: html``, Madagascar: html``, Mauritania: html``, Niger: html``, Ghana: html``, Zimbabwe: html``, "Sub-Saharan Africa": html``, Malawi: html``, Zambia: html``, Mali: html``, Benin: html``, Uganda: html``, Chad: html``, Senegal: html`` })5a:T7a12,climate_risk_icons = new Object({ "Extreme Weather Events": html``, "Climate Change": html``, Drought: html``, "Temperature increase": html``, "Heat Stress": html``, "Rainfall Variability": html``, Flood: html``, "Multiple Risks": html`` })5b:T4da,heatmap_legend = () => { const svg = d3.create("svg").attr("width", 200).attr("height", 60); const defs = svg.append("defs"); const linearGradient = defs .append("linearGradient") .attr("id", "linear-gradient"); linearGradient .attr("x1", "0%") .attr("y1", "0%") .attr("x2", "100%") .attr("y2", "0%"); linearGradient .append("stop") .attr("offset", "0%") .attr("stop-color", "#F7D732"); linearGradient .append("stop") .attr("offset", "100%") .attr("stop-color", "#216729"); svg .append("rect") .attr("width", 100) .attr("height", 15) .style("fill", "url(#linear-gradient)") .attr("transform", "translate(15,30)"); const legendScale = d3.scaleLinear().range([0, 100]).domain([0, 1]); const legendAxis = d3 .axisTop() .scale(legendScale) .tickValues([0, 1]) .tickFormat((d) => (d === 0 ? _lang(nbText.GenderedAfriAG.LegendScale.low) : _lang(nbText.GenderedAfriAG.LegendScale.high))) .tickSize(0); svg .append("g") .attr("class", "legend axis") .attr("transform", "translate(15,30)") .call(legendAxis) .style("font-size", "10px"); svg.selectAll(".axis path").style("stroke", "none"); return svg.node(); }5c:T507,crop_gender_data = [ { country: "Tanzania", Cereals: 52, Legumes: 54, "Roots & Tubers": 52, "Fruits & Vegetables": 45, "Non-edible crops": 54 }, { country: "Malawi", Cereals: 54, Legumes: 53, "Roots & Tubers": 50, "Fruits & Vegetables": 49, "Non-edible crops": 47 }, { country: "Niger", Cereals: 21, Legumes: 28, "Roots & Tubers": null, "Fruits & Vegetables": 37, "Non-edible crops": null }, { country: "Uganda", Cereals: 55, Legumes: 59, "Roots & Tubers": 60, "Fruits & Vegetables": 53, "Non-edible crops": 50 }, { country: "Nigeria", Cereals: 36, Legumes: 40, "Roots & Tubers": 52, "Fruits & Vegetables": 38, "Non-edible crops": 46 }, // { // country: "N. Nigeria", // Cereals: 28, // Legumes: 28, // "Roots & Tubers": 50, // "Fruits & Vegetables": 36, // "Non-edible crops": 31 // }, // { // country: "S. Nigeria", // Cereals: 43, // Legumes: 51, // "Roots & Tubers": 54, // "Fruits & Vegetables": 39, // "Non-edible crops": 61 // }, { country: "Ethiopia", Cereals: 28, Legumes: 23, "Roots & Tubers": null, "Fruits & Vegetables": 38, "Non-edible crops": 32 } ]5d:T6f7,// roi = (() => { // if (country !== "SSA") { // return non_topo.filter((d) => d.admin1_name === lollipop_admin); // } else if (country === "SSA" && lollipop_admin !== "SSA") { // const raw_data = non_topo.filter((d) => d.admin0_name === lollipop_admin); // const meanVariables = raw_data.reduce((acc, obj) => { // Object.keys(obj).forEach((key) => { // if (typeof obj[key] === "number" && !isNaN(obj[key])) { // acc[key] = (acc[key] || 0) + obj[key] / raw_data.length; // } // }); // return acc; // }, {}); // return [meanVariables]; // } else if (country === "SSA" && lollipop_admin === "SSA") { // const raw_data = non_topo; // const meanVariables = raw_data.reduce((acc, obj) => { // Object.keys(obj).forEach((key) => { // if (typeof obj[key] === "number" && !isNaN(obj[key])) { // acc[key] = (acc[key] || 0) + obj[key] / raw_data.length; // } // }); // return acc; // }, {}); // return [meanVariables]; // } // })() roi = { function calculateMeanVariables(raw_data) { return raw_data.reduce((acc, obj) => { Object.keys(obj).forEach((key) => { if (typeof obj[key] === "number" && !isNaN(obj[key])) { acc[key] = (acc[key] || 0) + obj[key] / raw_data.length; } }); return acc; }, {}); } let roiData; if (country !== "SSA") { if (admin1_sel === "Full Country" || admin1_sel === null) { const raw_data = non_topo.filter((d) => d.admin0_name === country); roiData = [calculateMeanVariables(raw_data)]; } else { roiData = non_topo.filter((d) => d.admin1_name === admin1_sel); } } else { roiData = [calculateMeanVariables(non_topo)]; } return roiData; }5e:Tab6,bi_legend = () => { const k = 50; const arrow = "arrow-id"; d3.select(".biLegend").remove(); const tooltip = d3 .select("body") .append("div") .attr("class", `plotTooltip biLegend`) .style("position", "absolute") .style("opacity", 0); const svg = d3 .create("svg") .attr("width", 500) // increased size .attr("height", 500) // increased size .attr("viewBox", "0 0 525 525") // increased viewBox .attr("font-family", "sans-serif") .attr("font-size", 10); // const g = svg .append("g") .attr( "transform", `rotate(-45 ${(k * 3) / 2},${(k * 3) / 2}) translate(50, 100)` ); g.append("marker") .attr("id", arrow) .attr("markerHeight", 10) .attr("markerWidth", 10) .attr("refX", 6) .attr("refY", 3) .attr("orient", "auto") .append("path") .attr("d", "M0,0L9,3L0,6Z"); d3.cross(d3.range(3), d3.range(3)).forEach(([i, j]) => { const x = i * k; const y = (3 - 1 - j) * k; const fillColor = bi_color[j * 3 + i]; const titleText = `${_lang(nbText.GenderHotspots.selectors.GenderVar.domains[G_variable])}: ${_lang(nbText.General[labels[j]])}
${_lang(nbText.GenderHotspots.plot.heatLabels[heat_hazard])}: ${_lang(nbText.General[labels[i]])}`; g.append("rect") .attr("width", k) .attr("height", k) .attr("x", x) .attr("y", y) .attr("fill", fillColor) .on("mousemove", (event, d) => { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX + 1 + "px") .style("opacity", 1) .html(titleText); }) .on("mouseout", function (event, d) { mutable hover_data = null; tooltip.style("opacity", 0); }); }); g.append("line") .attr("marker-end", `url(#${arrow})`) .attr("x1", 0) .attr("x2", 3 * k) .attr("y1", 3 * k) .attr("y2", 3 * k) .attr("stroke", "black") .attr("stroke-width", 1.5); g.append("line") .attr("marker-end", `url(#${arrow})`) .attr("y2", 0) .attr("y1", 3 * k) .attr("stroke", "black") .attr("stroke-width", 1.5); g.append("text") // .attr("font-weight", "bold") .attr("font-size", "10px") .attr("dy", "0.71em") .attr("transform", `rotate(90) translate(${(3 / 2) * k},6)`) .attr("text-anchor", "middle") .text(_lang(nbText.GenderHotspots.selectors.GenderVar.domains[G_variable])); g.append("text") // .attr("font-weight", "bold") .attr("font-size", "10px") .attr("dy", "0.71em") .attr("transform", `translate(${(3 / 2) * k},${3 * k + 6})`) .attr("text-anchor", "middle") .text(_lang(nbText.GenderHotspots.plot.heatLabels[heat_hazard])); return svg.node(); }5f:T1cb0,async function _evaluateThresholds({ metrics = {}, rules = [], notifyUrl = null, source = "notebook", notify = true, buildPayload = null, promptToken = true, providedToken = null, // Token provided directly (e.g., from UI input) Promises = null } = {}) { const ops = { "==": (a, b) => a == b, "===": (a, b) => a === b, "!=": (a, b) => a != b, "!==": (a, b) => a !== b, "<": (a, b) => a < b, "<=": (a, b) => a <= b, ">": (a, b) => a > b, ">=": (a, b) => a >= b }; const triggered = []; // Evaluate each rule against current metrics for (const rule of rules) { const { id, metric, op, value, message, severity = "info", audience = [] } = rule; // Skip invalid operators if (!ops[op]) { console.warn(`Invalid operator "${op}" in rule ${id || metric}`); continue; } const current = metrics[metric]; // Skip if metric value is null/undefined if (current == null) { console.warn(`Metric "${metric}" not found in metrics snapshot`); continue; } // Check if threshold is triggered if (ops[op](current, value)) { // Ensure threshold and current are numbers (backend requirement) const thresholdNum = typeof value === 'number' ? value : parseFloat(value); const currentNum = typeof current === 'number' ? current : parseFloat(current); triggered.push({ id: id || metric, metric, op, threshold: thresholdNum, // Must be number current: currentNum, // Must be number message: message || `${metric} ${op} ${value}`, severity, audience: Array.isArray(audience) ? audience : [], occurredAt: new Date().toISOString() }); } } // Send notification if triggers fired and notification is enabled if (notify && notifyUrl && triggered.length > 0) { let token = ""; // Get token - either from prompt or provided directly console.log("=== Token check ==="); console.log("promptToken:", promptToken, "providedToken:", !!providedToken); if (providedToken) { // Token provided directly (from UI input) token = providedToken; console.log("Using provided token"); } else if (promptToken) { // Try to prompt for token (may not work in sandboxed environment) if (Promises && typeof Promises.prompt === 'function') { console.log("Using Observable Promises.prompt..."); try { token = await Promises.prompt("Enter one-time admin alert token:", { type: "text" }); console.log("Token received:", token ? "***" : "null/empty"); } catch (promptError) { console.error("Error prompting for token:", promptError); return { triggered, count: triggered.length, sent: false, error: `Token prompt failed: ${promptError.message || String(promptError)}` }; } } else { console.warn("Promises.prompt not available. Token must be provided via UI."); return { triggered, count: triggered.length, sent: false, error: "Token required - please use the UI input field" }; } } if (!token || !token.trim()) { console.warn("No token provided; skipping alert send."); return { triggered, count: triggered.length, sent: false, error: "No token provided" }; } try { // Build payload according to backend CreateAlertDto structure const defaultBody = { source, // Required: source identifier triggered, // Required: array of AlertTriggerDto (min 1) metricsSnapshot: metrics, // Optional: full metrics snapshot occurredAt: new Date().toISOString() // Optional: ISO date string }; // Allow custom payload builder if provided const body = typeof buildPayload === "function" ? buildPayload({ triggered, metrics, source, defaultBody }) : defaultBody; // Validate payload structure if (!body.source || !Array.isArray(body.triggered) || body.triggered.length === 0) { throw new Error("Invalid payload: source and triggered array (min 1 item) are required"); } // Ensure all triggered items have required fields and correct types for (const trigger of body.triggered) { if (typeof trigger.threshold !== 'number') { trigger.threshold = parseFloat(trigger.threshold) || 0; } if (typeof trigger.current !== 'number') { trigger.current = parseFloat(trigger.current) || 0; } } // Send POST request to backend alerts endpoint let response; try { response = await fetch(notifyUrl, { method: "POST", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${token.trim()}` // Required: Bearer token in Authorization header }, body: JSON.stringify(body) }); } catch (fetchError) { // Handle mixed content or CORS errors const errorMsg = fetchError.message || String(fetchError); if (errorMsg.includes("Mixed Content") || errorMsg.includes("Failed to fetch") || errorMsg.includes("CORS")) { const isHttp = notifyUrl.includes("http://") && !notifyUrl.includes("https://"); if (isHttp) { throw new Error(`Mixed Content Error: Observable (HTTPS) cannot access HTTP endpoints. Your backend must support HTTPS. Please enable HTTPS on your backend server or use a reverse proxy (like Nginx) with SSL certificates. See backend-cors-config.md for setup instructions.`); } else { throw new Error(`CORS Error: ${errorMsg}. Your backend must allow CORS from Observable's origin and allow the Authorization header. See backend-cors-config.md for CORS configuration examples.`); } } throw fetchError; } // Check response status if (!response.ok) { const errorText = await response.text(); throw new Error(`HTTP ${response.status}: ${errorText}`); } // Treat 2xx as success even if body is empty or non-JSON (so UI always shows success) let responseBody = null; const text = await response.text(); if (text && text.trim()) { try { responseBody = JSON.parse(text); } catch (_) { // Non-JSON or invalid JSON body is still success when status is 2xx } } console.log("Alert sent successfully:", responseBody); return { triggered, count: triggered.length, sent: true, response: responseBody }; } catch (err) { console.error("Notification POST failed:", err); let errorMessage = err?.message || String(err); // Provide helpful error message for mixed content if (errorMessage.includes("Mixed Content")) { errorMessage = `Mixed Content Error: The API endpoint must use HTTPS. Current URL: ${notifyUrl}. Please update the NOTIFY_URL to use HTTPS, or configure your backend to support HTTPS.`; } return { triggered, count: triggered.length, sent: false, error: errorMessage }; } } // Return triggered alerts even if notification was not sent return { triggered, count: triggered.length, sent: false }; }60:T5b3f,viewof heatStressNotificationTrigger ={ // ============================================================================ // TESTING MODE - Set to true to artificially trigger thresholds for testing // ============================================================================ const TESTING_MODE = true; // Set to false in production const TESTING_THRESHOLD_OVERRIDE = { human: 0, // Very low threshold to trigger easily crop: 0, // Very low threshold to trigger easily livestock: 0 // Very low threshold to trigger easily }; // ============================================================================ // Configuration // Backend API endpoint // Using Cloudflare Tunnel to provide HTTPS access to HTTP backend const BACKEND_URL = "https://server-ethiopian-atlas.ati.gov.et/alerts"; // Build the final URL (proxy should handle forwarding to HTTP backend) const NOTIFY_URL = BACKEND_URL; const SOURCE = "analyze-women-exposure-climate-hazards"; const AUTO_CHECK_ON_LOAD = true; // Automatically check thresholds when data loads // Dismissal storage: same (thresholds + data values) won't show popup again until they change const DISMISSED_STORAGE_KEY = "heatStressDismissedSignatures"; const getDismissalSignature = (triggered) => { if (!triggered || triggered.length === 0) return null; const parts = triggered .map((t) => `${t.id}:${Number(t.threshold)}:${Number(t.current)}`) .sort(); return parts.join("|"); }; const getDismissedSignatures = () => { try { const raw = typeof sessionStorage !== "undefined" ? sessionStorage.getItem(DISMISSED_STORAGE_KEY) : null; if (!raw) return []; const arr = JSON.parse(raw); return Array.isArray(arr) ? arr : []; } catch (_) { return []; } }; const addDismissedSignature = (sig) => { if (!sig || typeof sessionStorage === "undefined") return; const set = new Set(getDismissedSignatures()); set.add(sig); sessionStorage.setItem(DISMISSED_STORAGE_KEY, JSON.stringify([...set])); }; const isDismissed = (sig) => sig && getDismissedSignatures().includes(sig); // Heat stress types and their thresholds const getThresholds = () => { if (TESTING_MODE) { return { human: TESTING_THRESHOLD_OVERRIDE.human, crop: TESTING_THRESHOLD_OVERRIDE.crop, livestock: TESTING_THRESHOLD_OVERRIDE.livestock }; } return { human: hazard_bivariate_thresholds.human.high, crop: hazard_bivariate_thresholds.crop.high, livestock: hazard_bivariate_thresholds.livestock.high }; }; const thresholds = getThresholds(); const heatStressTypes = [ { key: "human", label: "Human Heat Stress", hazardCode: hazard_dict.human, threshold: thresholds.human }, { key: "crop", label: "Crop Heat Stress", hazardCode: hazard_dict.crop, threshold: thresholds.crop }, { key: "livestock", label: "Livestock Heat Stress", hazardCode: hazard_dict.livestock, threshold: thresholds.livestock } ]; // Query all heat stress data for current scenario const queryAllHeatStress = async () => { const allData = {}; for (const type of heatStressTypes) { try { const query = ` SELECT admin0_name, admin1_name, scenario, timeframe as time, value as hs_value, hazard FROM hazards WHERE hazard LIKE '%${type.hazardCode}%' AND admin2_name IS NULL AND scenario = '${ssp}' AND (timeframe = '2041_2060' OR timeframe = 'historic') `; // db.query() returns a promise that resolves to an array directly // (based on how hazard_data is used elsewhere in the notebook with .filter()) const result = await db.query(query); allData[type.key] = Array.isArray(result) ? result : []; } catch (error) { console.error(`Error querying ${type.label}:`, error); allData[type.key] = []; } } return allData; }; // Check thresholds and build rules const checkThresholds = async () => { console.log("=== Starting threshold check ==="); console.log("TESTING_MODE:", TESTING_MODE); console.log("Thresholds:", thresholds); const heatStressData = await queryAllHeatStress(); console.log("Heat stress data retrieved:", Object.keys(heatStressData).map(k => ({ key: k, count: heatStressData[k]?.length || 0 }))); const allTriggered = []; const metricsSnapshot = {}; for (const type of heatStressTypes) { const data = heatStressData[type.key] || []; console.log(`${type.label}: ${data.length} records, threshold: ${type.threshold}`); if (data.length > 0) { // Log sample values const sampleValues = data.slice(0, 3).map(d => d.hs_value); console.log(` Sample values: ${sampleValues.join(', ')}`); } // Find regions exceeding high threshold const exceededRegions = data.filter(d => d.hs_value > type.threshold); console.log(` Regions exceeding threshold (${type.threshold}): ${exceededRegions.length}`); if (exceededRegions.length > 0) { // Get the maximum value for this type const maxValue = Math.max(...exceededRegions.map(d => d.hs_value)); const maxRegion = exceededRegions.find(d => d.hs_value === maxValue); // Build metric name const metricName = `heat_stress_${type.key}`; metricsSnapshot[metricName] = maxValue; metricsSnapshot[`${metricName}_count`] = exceededRegions.length; metricsSnapshot[`${metricName}_max_region`] = maxRegion.admin1_name || maxRegion.admin0_name; // Add trigger rule allTriggered.push({ id: `heat-stress-${type.key}-high`, metric: metricName, op: ">", value: type.threshold, message: `${type.label} exceeds high threshold (${type.threshold}). Maximum value: ${maxValue.toFixed(2)} in ${maxRegion.admin1_name || maxRegion.admin0_name}. ${exceededRegions.length} region(s) affected.`, severity: "warning" }); console.log(` ✓ TRIGGERED: ${type.label} (max: ${maxValue.toFixed(2)} > threshold: ${type.threshold})`); } } console.log(`=== Total triggers found: ${allTriggered.length} ===`); return { triggered: allTriggered, metrics: metricsSnapshot }; }; // Token input modal (centered overlay) let modalOverlay = null; let modalContent = null; let tokenInput = null; let sendButton = null; let closeButton = null; let pendingTriggered = null; let pendingMetrics = null; // Function to show token input modal (centered on page) const showTokenModal = (triggered, metrics) => { pendingTriggered = triggered; pendingMetrics = metrics; // Remove existing modal if any if (modalOverlay) { modalOverlay.remove(); } // Create modal overlay (full screen, centered) modalOverlay = document.createElement('div'); modalOverlay.style.cssText = ` position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: rgba(0, 0, 0, 0.5); display: flex; justify-content: center; align-items: center; z-index: 10000; animation: fadeIn 0.2s ease-in; `; // Add fade-in animation const style = document.createElement('style'); style.textContent = ` @keyframes fadeIn { from { opacity: 0; } to { opacity: 1; } } @keyframes slideUp { from { transform: translateY(20px); opacity: 0; } to { transform: translateY(0); opacity: 1; } } `; document.head.appendChild(style); // Create modal content modalContent = document.createElement('div'); modalContent.style.cssText = ` background: white; border-radius: 8px; padding: 24px; max-width: 500px; width: 90%; box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3); animation: slideUp 0.3s ease-out; position: relative; `; // Build trigger details const triggerDetails = triggered.map(t => `

${t.message}

` ).join(''); modalContent.innerHTML = `

⚠ Heat Stress Thresholds Exceeded

Found ${triggered.length} threshold(s) exceeded. Enter your admin token to send alerts to the notification system.

${triggerDetails}

Admin Alert Token:

Don't show this popup again for these threshold and data values (until thresholds or data change)

`; modalOverlay.appendChild(modalContent); document.body.appendChild(modalOverlay); // Get references to elements tokenInput = modalContent.querySelector('#tokenInput'); sendButton = modalContent.querySelector('#sendAlertsBtn'); closeButton = modalContent.querySelector('#closeModalBtn'); const cancelBtn = modalContent.querySelector('#cancelBtn'); // Close modal handlers: if "don't show again" is checked, remember this combination const closeModal = () => { const dismissToggle = modalContent && modalContent.querySelector("#dismissToggle"); if (dismissToggle && dismissToggle.checked && pendingTriggered && pendingTriggered.length > 0) { const sig = getDismissalSignature(pendingTriggered); if (sig) addDismissedSignature(sig); } if (modalOverlay) { modalOverlay.remove(); modalOverlay = null; modalContent = null; } }; closeButton.onclick = closeModal; cancelBtn.onclick = closeModal; modalOverlay.onclick = (e) => { if (e.target === modalOverlay) { closeModal(); } }; // Send alerts handler sendButton.onclick = async () => { const token = tokenInput.value.trim(); if (!token) { tokenInput.style.borderColor = '#dc3545'; tokenInput.focus(); return; } sendButton.disabled = true; sendButton.textContent = "Sending..."; sendButton.style.background = '#6c757d'; const dismissToggleEl = modalContent.querySelector("#dismissToggle"); const dismissAfterSend = dismissToggleEl && dismissToggleEl.checked; try { // Build rules for evaluateThresholds const rules = pendingTriggered.map(t => ({ id: t.id, metric: t.metric, op: t.op, value: t.value, message: t.message, severity: t.severity })); // Send alerts const result = await _evaluateThresholds({ metrics: pendingMetrics, rules: rules, notifyUrl: NOTIFY_URL, source: SOURCE, notify: true, promptToken: false, providedToken: token, Promises: Promises }); if (result.sent) { if (dismissAfterSend && pendingTriggered && pendingTriggered.length > 0) { const sig = getDismissalSignature(pendingTriggered); if (sig) addDismissedSignature(sig); } modalContent.innerHTML = `

✓

Alerts Sent Successfully

Successfully sent ${result.count} alert(s) to the notification system.

`; // Update status div if it exists if (statusDiv) { statusDiv.innerHTML = htl.html`

✓ Successfully sent ${result.count} alert(s) to notification system.

`; } } else { const tokenInputEl = modalContent.querySelector('#tokenInput'); if (tokenInputEl) tokenInputEl.style.borderColor = '#dc3545'; sendButton.disabled = false; sendButton.textContent = "Retry Send"; sendButton.style.background = '#28a745'; const errorMsg = document.createElement('div'); errorMsg.style.cssText = 'color: #721c24; padding: 8px; background: #f8d7da; border-radius: 4px; margin-top: 12px;'; errorMsg.textContent = `Error: ${result.error || "Unknown error"}`; if (sendButton.parentElement) modalContent.insertBefore(errorMsg, sendButton.parentElement); else modalContent.appendChild(errorMsg); } } catch (error) { console.error("Error sending alerts:", error); sendButton.disabled = false; sendButton.textContent = "Retry Send"; sendButton.style.background = '#28a745'; const errorMsg = document.createElement('div'); errorMsg.style.cssText = 'color: #721c24; padding: 8px; background: #f8d7da; border-radius: 4px; margin-top: 12px;'; errorMsg.textContent = `Error: ${error.message || String(error)}`; if (sendButton.parentElement) modalContent.insertBefore(errorMsg, sendButton.parentElement); else modalContent.appendChild(errorMsg); } }; // Add Enter key support tokenInput.onkeypress = (e) => { if (e.key === 'Enter') { sendButton.click(); } }; // Focus input setTimeout(() => tokenInput.focus(), 100); }; // Core check function (used by both manual and automatic checks) const performCheck = async (showUI = true) => { if (showUI && button) { button.disabled = true; statusDiv.innerHTML = htl.html`

Checking thresholds...

`; } // Remove any existing modal if (modalOverlay) { modalOverlay.remove(); modalOverlay = null; } try { const { triggered, metrics } = await checkThresholds(); if (triggered.length === 0) { if (showUI) { statusDiv.innerHTML = htl.html`

✓ No thresholds exceeded. All heat stress values are within acceptable ranges.

`; } return { triggered: [], sent: false, message: "No thresholds exceeded" }; } const sig = getDismissalSignature(triggered); if (sig && isDismissed(sig)) { if (showUI) { statusDiv.innerHTML = htl.html`

Thresholds exceeded for this combination, but popup was disabled. Change thresholds or data to see the alert again.

`; } else if (statusDiv) { statusDiv.innerHTML = htl.html`

Auto-check: Same thresholds/values already dismissed for this session.

`; } return { triggered, sent: false, message: "Dismissed for this combination" }; } // Show modal (centered on page) for both manual and auto-check showTokenModal(triggered, metrics); if (showUI) { statusDiv.innerHTML = htl.html`

⚠ Found ${triggered.length} threshold(s) exceeded. Please enter token in the modal.

`; } else { if (statusDiv) { statusDiv.innerHTML = htl.html`

⚠ Auto-check: Found ${triggered.length} threshold(s) exceeded. Please enter token in the modal.

`; } } return { triggered, sent: false, message: "Waiting for token input" }; } catch (error) { console.error("Error checking thresholds:", error); if (showUI) { statusDiv.innerHTML = htl.html`

✗ Error: ${error.message || String(error)}

`; } return { triggered: [], sent: false, error: error.message || String(error) }; } finally { if (showUI && button) { button.disabled = false; } } }; // Button click handler const handleCheck = async () => { await performCheck(true); }; // Automatic check on data load (runs when cell is evaluated) const autoCheck = async () => { if (AUTO_CHECK_ON_LOAD) { console.log("Auto-checking heat stress thresholds on data load..."); console.log("TESTING_MODE:", TESTING_MODE); console.log("Thresholds:", thresholds); console.log("Promises available:", !!Promises); try { const result = await performCheck(false); // Don't show UI updates during auto-check console.log("Auto-check result:", result); if (result.triggered && result.triggered.length > 0) { console.log(`Found ${result.triggered.length} threshold(s) exceeded`); // Show a notification that auto-check found issues if (statusDiv) { statusDiv.innerHTML = htl.html`

⚠ Auto-check: Found ${result.triggered.length} threshold(s) exceeded. ${result.sent ? 'Alerts sent.' : (result.error ? `Error: ${result.error}` : 'Click button to retry sending alerts.')}

`; } } else { console.log("No thresholds exceeded or no triggers found"); if (statusDiv) { statusDiv.innerHTML = htl.html`

✓ Auto-check: No thresholds exceeded.

`; } } if (result.sent === false && result.error) { console.error("Auto-check error:", result.error); // Show error if auto-check failed if (statusDiv) { statusDiv.innerHTML = htl.html`

✗ Auto-check error: ${result.error}

`; } } } catch (error) { console.error("Auto-check exception:", error); if (statusDiv) { statusDiv.innerHTML = htl.html`

✗ Auto-check exception: ${error.message || String(error)}

`; } } } }; // Create UI const button = htl.html``; button.onclick = handleCheck; const statusDiv = htl.html`

`; // Run automatic check when cell loads (if enabled) autoCheck().catch(err => { console.error("Auto-check failed:", err); }); const thresholdDisplay = TESTING_MODE ? htl.html`

⚠ TESTING MODE ENABLED
Using test thresholds (all set to 0 for easy triggering):
• Human: > ${thresholds.human}
• Crop: > ${thresholds.crop}
• Livestock: > ${thresholds.livestock}

` : htl.html`

Checks all three heat stress types (Human, Crop, Livestock) against high thresholds:
• Human: > ${thresholds.human}
• Crop: > ${thresholds.crop}
• Livestock: > ${thresholds.livestock}

`; return htl.html`

Heat Stress Notification Trigger

${AUTO_CHECK_ON_LOAD ? htl.html`

✓ Auto-check enabled: Thresholds are checked automatically when data loads

` : htl.html``} ${thresholdDisplay} ${button} ${statusDiv}

`; } 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${notebookTitle}

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${_lang(nbText.GenderedAfriAG.FemaleParticipationLabor.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":972,"value":"$47","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4425,"value":"$48","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4366,"value":"buildInlineDownloadButton(task_gender_data, _lang(nbText.General.download), 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${_lang(nbText.GenderedAfriAG.FemaleParticipationCrops.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":896,"value":"$4a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4429,"value":"$4b","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4360,"value":"buildInlineDownloadButton(crop_gender_data, _lang(nbText.General.download), 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default to Ethiopia\n }), viewof country),\n Inputs.bind(\n Inputs.select(a1_list, { \n label: _lang(nbText.General.region), \n format: (v) => v === \"Full Country\" ? _lang(nbText.General.adminNames[v]) : v \n }),\n viewof admin1_sel\n )\n ],\n {\n template: (inputs) =>\n htl.html`

${inputs}

`\n }\n );\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4475,"value":"viewof ChartType = {\n return Inputs.radio(\n [\"lollipop\", \"bar\"],\n {\n label: \"Chart Type\",\n format: (d) => d === \"lollipop\" ? \"Lollipop Chart\" : \"Bar Chart\",\n value: \"lollipop\"\n }\n );\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2874,"value":"## ${_lang(nbText.GenderInvestments.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":909,"value":"$4c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4434,"value":"$4d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4354,"value":"buildInlineDownloadButton(non_topo, _lang(nbText.General.download), \"FemaleEmpowerment\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":918,"value":"# ${_lang(nbText.GenderHotspots.title)}\n\n${_lang(nbText.GenderHotspots.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3975,"value":"$4e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1842,"value":"viewof bivar_form = Inputs.form(\n {\n country: Inputs.bind(\n Inputs.select(a0_list, {\n label: _lang(nbText.General.country),\n value: clickedAdmin0,\n format: (v) => _lang(nbText.General.adminNames[v]) \n }),\n viewof country\n ),\n // Gender_var: Inputs.bind(\n // Inputs.select(\n // new Map(Object.entries(F_dict).map(([key, value]) => [value, key])),\n // { label: \"Gender Variable\", value: \"women_in_agric\" }\n // ),\n // viewof sel_gender_var\n // ),\n scenario: Inputs.select(\n // new Map(\n // Object.entries(scenario_dict).map(([key, value]) => [value, key])\n // ),\n Object.keys(scenario_dict),\n {\n label: _lang(nbText.General.scenario),\n format: (x) => x === \"historic\" ? _lang(nbText.General.historic) : scenario_dict[x]\n }\n )\n },\n {\n template: (inputs) => htl.html`

\n ${Object.values(inputs)}\n

`\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":168,"value":"$4f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4514,"value":"$50","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4349,"value":"buildInlineDownloadButton(BiVar_merge, _lang(nbText.General.download), \"HazardGenderIntersection\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4348,"value":"$51","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1401,"value":"# ${_lang(nbText.BridgeGap.title)}\n\n${_lang(nbText.BridgeGap.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2695,"value":"viewof adaptation = Inputs.select(adaptationOptions, {\n label: _lang(nbText.BridgeGap.selector.title),\n format: (l) => _lang(nbText.BridgeGap.selector.options[l])\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2593,"value":"$52","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2463,"value":"# ${_lang(nbText.Summary.title)}\n\n${_lang(nbText.Summary.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2043,"value":"# ${_lang(nbText.MethodsSources.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3571,"value":"--- \n## ${_lang(nbText.MethodsSources.datasets.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3576,"value":"### ${_lang(nbText.MethodsSources.datasets.femaleParticipation.title)}\n\n${_lang(nbText.MethodsSources.datasets.femaleParticipation.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3587,"value":"### ${_lang(nbText.MethodsSources.datasets.heatStress.title)}\n${_lang(nbText.MethodsSources.datasets.heatStress.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3596,"value":"### ${_lang(nbText.MethodsSources.datasets.FemaleWellbeing.title)}\n\n${_lang(nbText.MethodsSources.datasets.FemaleWellbeing.text)}\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3601,"value":"### ${_lang(nbText.MethodsSources.datasets.WomenInAg.title)}\n\n${_lang(nbText.MethodsSources.datasets.WomenInAg.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3603,"value":"### ${_lang(nbText.MethodsSources.datasets.adaptationSolutions.title)}\n\n${_lang(nbText.MethodsSources.datasets.adaptationSolutions.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3607,"value":"### ${_lang(nbText.MethodsSources.datasets.boundaries.title)}\n${_lang(nbText.MethodsSources.datasets.boundaries.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3610,"value":"## ${_lang(nbText.MethodsSources.methods.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3642,"value":"### ${_lang(nbText.MethodsSources.methods.WomenInAg.title)}\n${_lang(nbText.MethodsSources.methods.WomenInAg.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3633,"value":"### ${_lang(nbText.MethodsSources.methods.hotspots.title)}\n\n${_lang(nbText.MethodsSources.methods.hotspots.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3612,"value":"## ${_lang(nbText.MethodsSources.methods.solutions.title)}\n\n${_lang(nbText.MethodsSources.methods.solutions.text)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2092,"value":"# ${_lang(nbText.Appendix.title)}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3302,"value":"---\n## Work by Topic\n*Cells that power different sections*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2096,"value":"---\n### Support notebook\n[Support Notebook](https://observablehq.com/@periscopic/ab-atlas-spotlight-support): used for imports across spotlights.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2101,"value":"---\n### Notebook Variables\n_Main Variables across the notebook_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":932,"value":"notebookTitle = \"Analyze Women's Exposure To Climate Hazards\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4329,"value":"import {buildInlineDownloadButton} from \"1bda5f9b60c64223\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4328,"value":"## Language and Translation tools","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":4327,"value":"import {Lang} from \"7d46679f7d0d917e\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4326,"value":"_lang = Lang.lg(language.key)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4325,"value":"languages = [\n { key: \"en\", label: \"English\", locale: 'en-US' },\n { key: \"am\", label: \"አማርኛ\", locale: 'am-ET' },\n {key: \"or\", label: \"Afaan Oromoo\", locale: 'or-ET'},\n {key: \"ti\", label: \"ትግርኛ\", locale: 'ti-ET'},\n {key: \"so\", label: \"Soomaali\", locale: 'so-ET'},\n {key: \"af\", label: \"Qafar af\", locale: 'af-ET'}\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4324,"value":"defaultLangKey = {\n const name = \"lang\";\n const list = languages.map((d) => d.key);\n const defaultKey = \"en\";\n\n const queryParam = await Lang.getParamFromList({ name, list });\n\n return queryParam ?? defaultKey;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4323,"value":"viewof language = Inputs.radio(languages, {\n label: \"Main language toggle\",\n format: (d) => d.key,\n value: languages.find((x) => x.key === defaultLangKey),\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4487,"value":"$53","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4322,"value":"$54","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4491,"value":"$55","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2106,"value":"---\n### Notebook Styling\n*styling helpers*\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2110,"value":"**CSS styling**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":4260,"value":"// full styling\nstyling = md`${stylingGeneral}${stylingTooltip}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3035,"value":"stylingTooltip = htl.html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2365,"value":"$56","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2112,"value":"**Table Of Contents**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2289,"value":"$57","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"---\n### Notebook data\n_Datasets for use across the notebook_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":64,"value":"db = {\n const db = await DuckDBClient.of({\n gender: FileAttachment(\"a0a1_gender_variables.parquet\"),\n hazards: FileAttachment(\"HS_hazards.parquet\"),\n mapspam_vop: FileAttachment(\"mapspam_vop.parquet\")\n });\n return db;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":69,"value":"hazard_data = db.query(`Select admin0_name, admin1_name, scenario, timeframe as time, value as hs_value, hazard\n FROM hazards\n WHERE hazard LIKE '%${hazard_dict[heat_hazard]}%'\n AND admin2_name IS NULL`)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":98,"value":"gender_data = db.query(`Select *\n FROM gender`)\n// WHERE admin2_name IS NULL`)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":85,"value":"#### Dictionaries\n_Used to provide consistent variable names and thresholds across the notebook_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":91,"value":"F_dict = new Object({\n women_in_agric: \"Women in Agriculture\",\n empowerment_index: \"Empowerment Index\",\n education: \"Education\",\n // domestic_violence: \"Domestic Violence\",\n domestic_violence: \"Domestic Safety\",\n reproductive_health: \"Reproductive Health\",\n family_planning: \"Family Planning\",\n employment: \"Employment\",\n decisions: \"Decision Making\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":88,"value":"hazard_dict = new Object({\n human: \"HSH\",\n crop: \"NTx35\",\n livestock: \"THI\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":342,"value":"hazard_bivariate_thresholds = new Object({\n human: { low: 27, high: 42 },\n livestock: { low: 72, high: 90 },\n crop: { low: 9, high: 25 }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1851,"value":"scenario_dict = new Object({\n historic: \"Historic\",\n ssp245: \"SSP245\",\n ssp585: \"SSP585\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2503,"value":"crop_groups = new Object({\n \"Roots & Tubers\": [\"'potato'\", \"'sweet potato'\", \"'yams'\", \"'cassava'\"],\n Cereals: [\n \"'wheat'\",\n \"'rice'\",\n \"'maize'\",\n \"'barley'\",\n \"'pearl millet'\",\n \"'small millet'\",\n \"'sorghum'\"\n ],\n Legumes: [\n \"'bean'\",\n \"'chickpea'\",\n \"'cowpea'\",\n \"'pigeonpea'\",\n \"'lentil'\",\n \"'groundnut'\",\n \"'soybean'\"\n ],\n \"Fruits & Vegetables\": [\"'plantain'\", \"'coconut'\", \"'banana'\"],\n \"Non-edible crops\": [\n \"'cocoa'\",\n \"'rapeseed'\",\n \"'sesameseed'\",\n \"'oilpalm'\",\n \"'cotton'\",\n \"'tea'\",\n \"'tobacco'\",\n \"'arabica coffee'\",\n \"'sunflower'\",\n \"'sugarcane'\",\n \"'sugarbeet'\",\n \"'robusta coffee'\"\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"#### Icons\n*Icons used across the notebook for the heat stress radio buttons and in the solution table*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":11,"value":"$58","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2571,"value":"$59","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2576,"value":"$5a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2048,"value":"---\n### Admin Data and Selection\n*Data imports for the Administrative boundaries at Country (admin 0) and admin 1 level.*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":50,"value":"admin1_boundaries = FileAttachment(\n \"atlas-region_admin1_harmonizedV2.json\"\n).json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":355,"value":"admin0_boundaries = FileAttachment(\"atlas-region_admin0_harmonized.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2124,"value":"a0_list = [\"SSA\"].concat(\n Array.from(\n new Set(\n Object.values(\n admin0_boundaries.objects[\"atlas-region_admin0_harmonized\"].geometries\n ).map((d) => d.properties.admin0_name)\n )\n )\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2128,"value":"a1_list = {\n const filteredData = admin1_boundaries.objects[\n \"atlas-region_admin1_harmonizedV2\"\n ].geometries.filter((d) => d.properties.admin0_name === country);\n\n const a1Names = Array.from(\n new Set(filteredData.map((d) => d.properties.admin1_name))\n );\n return [\"Full Country\"].concat(a1Names);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2134,"value":"mutable clickedAdmin0 = \"Ethiopia\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1755,"value":"viewof country = {\n // Create the selection input.\n const country = Inputs.select(a0_list, {\n // label: html`Select Country:`,\n label: \"Select Country\",\n value: clickedAdmin0\n });\n\n // Update clickedAdmin0 when the selection changes.\n country.addEventListener(\"input\", () => {\n mutable clickedAdmin0 = country.value === \"Ethiopia\" ? null : country.value;\n });\n return country;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1762,"value":"viewof admin1_sel = Inputs.select(a1_list, { label: \"admin1\" })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1005,"value":"---\n### Heat maps","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1216,"value":"$5b","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1156,"value":"task_gender_data = [\n {\n country: \"Tanzania\",\n \"Land Prep.\": 52,\n \"Planting/Weeding\": 53,\n Harvesting: 54\n },\n {\n country: \"Malawi\",\n \"Land Prep.\": 53,\n \"Planting/Weeding\": 53,\n Harvesting: 51\n },\n {\n country: \"Niger\",\n \"Land Prep.\": 18,\n \"Planting/Weeding\": 25,\n Harvesting: 28\n },\n {\n country: \"Uganda\",\n \"Land Prep.\": null,\n \"Planting/Weeding\": null,\n Harvesting: null\n },\n {\n country: \"Nigeria\",\n \"Land Prep.\": 41,\n \"Planting/Weeding\": 41,\n Harvesting: 42\n },\n {\n country: \"Ethiopia\",\n \"Land Prep.\": 26,\n \"Planting/Weeding\": 26,\n Harvesting: 37\n }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1007,"value":"$5c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1184,"value":"crop_gender_means = new Object({\n crop_mean: {\n Cereals: 31,\n Legumes: 31,\n \"Roots & Tubers\": 42,\n \"Fruits & Vegetables\": 34,\n \"Non-edible Crops\": 33\n },\n country_mean: {\n Tanzania: 52,\n Malawi: 52,\n Niger: 24,\n Uganda: 56,\n \"N. Nigeria\": 32,\n \"S. Nigeria\": 52,\n Ethiopia: 29\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1175,"value":"mutable hover_data = null","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2424,"value":"#### Dynamic Insights for the heat maps","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2430,"value":"root_tube_total = {\n const total = await db.query(\n `SELECT SUM(\"value\") as rt_sum, admin0_name\n FROM \"mapspam_vop\"\n WHERE crop IN (${crop_groups[\"Roots & Tubers\"]})\n GROUP BY admin0_name`\n );\n\n const women_total = total.map((d) => {\n const match = crop_gender_data.find((item) => item.country === d.admin0_name);\n return match && match['Roots & Tubers'] ? d.rt_sum * (match['Roots & Tubers']/100) : null;\n });\n\n const sum_W_total = women_total.reduce((acc, val) => acc + (val || 0), 0)\n \n\n return sum_W_total;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2499,"value":"selection_total = {\n if (crop_cat === null) {\n return null;\n } else {\n const total = await db.query(\n `Select SUM(\"value\") as crop_sum\n FROM mapspam_vop\n WHERE admin0_name LIKE '%${hover_data.country}'\n AND crop in (${crop_groups[crop_cat]})`\n );\n return Math.round(total[0][\"crop_sum\"]);\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2526,"value":"crop_cat = {\n if (hover_data === null) {\n return null;\n } else {\n return hover_data.type;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":847,"value":"---\n### Lollipop Plot","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":849,"value":"$5d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":862,"value":"regional_avg = {\n const surrounding = non_topo.filter((d) => d.admin1_name !== \"na\");\n\n const variablesToKeep = [\n // \"women_in_agric\",\n // \"female_empowerment\",\n \"decisions\",\n \"domestic_violence\",\n \"education\",\n \"employment\",\n \"family_planning\",\n \"empowerment_index\",\n \"reproductive_health\"\n ];\n\n // Calculate the mean value for each variable\n const meanValues = variablesToKeep.reduce((acc, variable) => {\n const sum = surrounding.reduce((sum, area) => sum + area[variable], 0);\n acc[variable] = sum / surrounding.length;\n return acc;\n }, {});\n\n return meanValues;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":853,"value":"// non_topo = {\n// if (country === \"SSA\" || admin1_sel === \"Full Country\") {\n// return BiVar_merge;\n// } else {\n// return BiVar_merge.filter((d) => d.admin0_name === country);\n// }\n// }\nnon_topo = {\n if (country === \"SSA\" || admin1_sel === \"Full Country\") {\n return db.query(`SELECT * FROM gender`);\n } else {\n return db.query(`SELECT * FROM gender WHERE admin0_name LIKE '${country}'`);\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1963,"value":"loli_legend = () => {\n const svg = d3.create(\"svg\").attr(\"width\", 200).attr(\"height\", 100);\n\n const box = svg\n .append(\"rect\")\n .attr(\"width\", 200)\n .attr(\"height\", 100)\n .attr(\"rx\", 10)\n .attr(\"ry\", 10)\n .attr(\"fill\", \"#f0f0f0\");\n\n const color = d3\n .scaleOrdinal()\n .domain([\"Regional average\", \"Admin average\"])\n .range([\"#216729\", \"grey\"]);\n\n const circles = svg\n .selectAll(\"circle\")\n .data([\"Regional average\", \"Admin average\"])\n .join(\"circle\")\n .attr(\"cx\", 30)\n .attr(\"cy\", (d, i) => 35 + i * 30)\n .attr(\"r\", 6)\n .attr(\"fill\", (d) => color(d));\n\n let region_name;\n if (admin1_sel !== \"Full Country\") {\n region_name = admin1_sel;\n }\n\n const labels = svg\n .selectAll(\"text\")\n // .data([region_name + \" average\", country + \" average\"])\n .data([\"regional_avg\", \"national_avg\"])\n .join(\"text\")\n .attr(\"x\", 45)\n .attr(\"y\", (d, i) => 40 + i * 30)\n .text((d) => _lang(nbText.General[d]));\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":109,"value":"---\n### Bivariate Choropleth map\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3790,"value":"viewof sel_gender_var = Inputs.select(\n new Map(Object.entries(F_dict).map(([key, value]) => [value, key])),\n { label: \"Variable\", value: \"women_in_agric\" }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1859,"value":"ssp = bivar_form[\"scenario\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4022,"value":"heat_hazard = BiVariable_form[\"hazard\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1861,"value":"G_variable = BiVariable_form[\"Gender_var\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":156,"value":"index = d3.index(\n BiVar_merge,\n (d) => d.admin0_name,\n (d) => d.admin1_name\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":133,"value":"BiVar_merge = {\n // const hazard_regex = /(_mean$ |/i;\n const filtered_haz = hazard_data.filter(\n (d) =>\n d.scenario === ssp && //Note the ! operator i nnext line\n !d.hazard.includes(\"mean\") && // could be mean or max\n (d.time === \"2041_2060\" || d.time === \"historic\")\n // d.admin1_name !== null //hazard_regex.test(d.hazard)\n );\n const mergedData = filtered_haz.map((item2) => {\n const matchingItem = gender_data.find(\n (item1) =>\n item1[\"admin0_name\"] === item2[\"admin0_name\"] &&\n item1[\"admin1_name\"] === item2[\"admin1_name\"]\n );\n\n return matchingItem ? { ...matchingItem, ...item2 } : item2;\n });\n\n return mergedData;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1814,"value":"filtered_haz = hazard_data.filter(\n (d) => d.scenario === 'historic' && !d.hazard.includes(\"max\") //&&\n // d.admin1_name !== null //hazard_regex.test(d.hazard)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":111,"value":"bi_color = {\n if (G_variable === \"women_in_agric\") {\n return [\n \"#e8e8e8\",\n \"#e4acac\",\n \"#c85a5a\",\n \"#b0d5df\",\n \"#ad9ea5\",\n \"#985356\",\n \"#64acbe\",\n \"#627f8c\",\n \"#574249\"\n ];\n } else {\n return [\n \"#e8e8e8\",\n \"#ddb395\",\n \"#d17a3d\",\n \"#a7c4d4\",\n \"#a7b395\",\n \"#a77a3d\",\n \"#65a0bf\",\n \"#65a095\",\n \"#657a3d\"\n ];\n }\n}\n\n// bi_color = [\n// \"#e8e8e8\",\n// \"#e4acac\",\n// \"#c85a5a\",\n// \"#b0d5df\",\n// \"#ad9ea5\",\n// \"#985356\",\n// \"#64acbe\",\n// \"#627f8c\",\n// \"#574249\"\n// ]\n\n// bi_color = [\n// \"#574249\",\n// \"#985356\",\n// \"#c85a5a\",\n// \"#627f8c\",\n// \"#ad9ea5\",\n// \"#e4acac\",\n// \"#64acbe\",\n// \"#b0d5df\",\n// \"#e8e8e8\"\n//\n\n// bi_color = [\n// \"#e8e8e8\",\n// \"#ddb395\",\n// \"#d17a3d\",\n// \"#a7c4d4\",\n// \"#a7b395\",\n// \"#a77a3d\",\n// \"#65a0bf\",\n// \"#65a095\",\n// \"#657a3d\"\n// ]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":114,"value":"labels = [\"low\", \"moderate\", \"high\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":116,"value":"$5e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2583,"value":"---\n### Solutions Table","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2585,"value":"gender_solutions = {\n const raw_csv = await FileAttachment(\"sectorSolutions_gender.csv\").csv();\n return raw_csv.map((d) => {\n d[\"Confidence in Result\"] = d[\"Agreement\"];\n d[\"Gender Outcome Score\"] = d[\"Gender outcome score\"];\n delete d[\"Agreement\"];\n delete d['Gender outcome score']\n return d;\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2691,"value":"adaptationOptions = Array.from(\n new Set(gender_solutions.map((d) => d[\"Adaptation Options\"]))\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3111,"value":"formatDollar = new Intl.NumberFormat(\"en-US\", {\n notation: \"compact\",\n compactDisplay: \"short\",\n style: \"currency\",\n currency: \"usd\"\n}).format","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4452,"value":"$5f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4450,"value":"$60","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W61","stdlib":"1"}} 46:"$45:body"