25:["$","title",null,{"children":"Climate change driving increased migration from Central America to the US | Sue Kim | Observable"}] 4b:T71e,htl.html` `4c:T70e,graph = { const svg = d3.select(DOM.svg(width, height3)); let link = svg .append("g") .attr("class", "links") .attr("fill", "none") .attr("stroke", "#F38366") .attr("stroke-opacity", 1); let node = svg .append("g") .attr("class", "nodes") .attr("font-family", "sans-serif") .attr("font-size", 14) .selectAll("g"); link = link .selectAll(".curves") .data(sankeyData.links) .enter() .append("path") .attr("d", d3Sankey.sankeyLinkHorizontal()) .attr("opacity", 1) //.attr("stroke-width", (d) => Math.max(1, d.width)) .attr("stroke-width", (d) => d.width) .attr("stroke", (d) => { if (d.source.name.includes("El")){ return colors["El Salvador"] } else{ return colors[d.source.name.split(" ")[0]] } }) .attr("class", (d) => d.source.name); link.append("title").text((d) => `${d.source.name} → ${d.target.name}`); node = node.data(sankeyData.nodes).enter().append("g"); node .append("rect") .attr("x", (d) => d.x0) .attr("y", (d) => d.y0) .attr("height", (d) => d.y1 - d.y0) .attr("width", (d) => d.x1 - d.x0) .attr("fill", "#393A3B") .on("mouseover", (e, d) => svg.selectAll("." + d.name).classed("animated", true) ) .on("mouseout", (e, d) => svg.selectAll("." + d.name).classed("animated", false) ); node .append("text") .attr("x", (d) => d.x0 - 6) .attr("y", (d) => (d.y1 + d.y0) / 2) .attr("fill", "#393A3B") .attr("dy", "0.1em") .attr("text-anchor", "end") .text((d) => d.name) .filter((d) => d.x0 < width / 2) .attr("x", (d) => d.x1 + 6) .attr("text-anchor", "start"); node.append("title").text((d) => `${d.name}`); return svg.node(); }4d:Ta5d,{playAgain; //svg area const svg = d3.create("svg").attr("width", width).attr("height", height2); svg .append("rect") .attr("width", width) .attr("height", height2) .attr("fill", "#f2f2f2f2")//.attr('id',...); //rotated group to hold countries const g = svg.append("g"); // .attr("transform", "rotate(-90," + width / 2 + "," + height / 2 + ")"); //the function that takes geographic data and converts to SVG paths const path = d3.geoPath().projection(projection); //draw countries(Central America) g.selectAll(".countries") .data(northAmerica.features) .enter() .append("path") .attr("d", path) .attr("stroke", "#DD3429") // (d) => // supportedSources.includes(d.properties.name) ? "white" : "#DD3429" // ) .attr("fill", (d) => selectedSources.includes(d.properties.name) ? fakeScale(d.properties.name) : "#f2f2f2f2" ) .attr("stroke-width", 0.25); //draw countries(The US) g.selectAll(".states") .data(statesWithMigrationData.features) .enter() .append("path") .attr("d", path) .attr("stroke", "#DD3429") .attr("stroke-width", 0.25) .attr("fill", "#DCDDDE") // .attr("fill-opacity", 0.15) ; g.selectAll('.popDots') .data(statesWithMigrationData.features) .enter() .append('circle') .attr('cx',d=>projection(d.centroid)[0]) .attr('cy', d=> projection(d.centroid)[1]) .attr('r',0) .attr('class','popDots') .attr('fill','#DD3429') .attr('opacity', 0.3) .transition() .duration(d=>growScale(totalMigration[d.properties.NAME])) .attr('r',d=>circleScale(totalMigration[d.properties.NAME])) //walk through states for (let state of statesWithMigrationData.features) { const stateArcs = state.trails .filter((d) => selectedSources.includes(d.properties.source)) .filter((d) => d.properties.migration); //draw arcs g.selectAll(".arcs") .data(stateArcs) .enter() .append("path") .attr("d", (d) => path(d)) .attr("fill", "none") .attr("stroke-width", 1) .attr("stroke", (d) => selectedSources.includes(d.properties.name) ? fakeScale(d.properties.name) : "#DD3429" ) // (d) => // d3.interpolatePlasma(sourceScale(d.properties.source)) // ) .style("stroke-dasharray", "3 6") .style("stroke-dashoffset", (d) => Math.random() * 100) .style( "animation", (d) => "dash " + durationScale(parseInt(d.properties.migration[selectedPeriod])) + "s linear infinite" ); } return svg.node(); }4e:T4ad,tooltip = { chart1; const tooltip = d3 .select("body") .append("div") .attr("class", "svg-tooltip") .style("position", "absolute") .style("visibility", "hidden") .style('pointer-events','none'); // select all rect d3.selectAll("rect") .on("mouseover", function(event, d) { // change the selection style d3.select(this) .raise() .attr('stroke-width', '2') .attr("stroke", "black"); // make the tooltip visible and update its text tooltip .style("visibility", "visible") .text(`Date: ${d.date}\nDisaster: ${d.disaster}\n${d.eventName}\nCountry: ${d.country}`); // ${d.x0}\nx1: ${d.x1}`); }) .on("mousemove", function(event, d) { tooltip .style("top", event.pageY - 10 + "px") .style("left", event.pageX < width/2? event.pageX + 10 + "px" : event.pageX - 150 + "px"); }) .on("mouseout", function() { // change the selection style d3.select(this).lower().attr('stroke-width', '0'); tooltip.style("visibility", "hidden"); }) .on("click", function() { d3.select(this) .attr("xlink:href", "http://en.wikipedia.org/wiki/") }); 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change driving increased migration from Central America to the US","thumbnail":"13406768f673a56ff49d84dd15faecb4e0b1f76ff4600205e56a3b00fa205371","access_level":"public","create_time":"$D2021-12-29T19:01:17.330Z","update_time":"$D2022-02-17T15:48:56.489Z","view_time":null,"first_public_time":"$D2021-12-29T19:44:32.996Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"9423ff69433a247a","login":"suek","name":"Sue Kim","avatar_url":"https://avatars-next.observableusercontent.com/65097d2a9f14d9300a98d4c853fca7c2d5b5b7d013dfb03baa19911a42f5bf75","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":342,"publish_version":342,"role":null,"authored":false,"authors":[{"type":"individual","id":"e92182a884ccd289","login":"suek","name":"Sue Kim","avatar_url":"https://avatars-next.observableusercontent.com/65097d2a9f14d9300a98d4c853fca7c2d5b5b7d013dfb03baa19911a42f5bf75","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"e92182a884ccd289","login":"suek","name":"Sue Kim","avatar_url":"https://avatars-next.observableusercontent.com/65097d2a9f14d9300a98d4c853fca7c2d5b5b7d013dfb03baa19911a42f5bf75","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Climate change driving increased migration from Central America to the US","cells":[{"id":0,"value":"# Climate change driving increased migration from Central America to the US","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":7,"value":"md`Migration between countries has continuously increased, and the factors are also diverse. However, when looking at the survey results on immigration factors between 2010 and 2015, The proportion of people citing climate change as the reason for their migration is growing significantly. \n\nWhy are these environmental factors suddenly getting more attention than ever? And would this trend continue in the future?\n\nWe wanted to explore this issue from a macro perspective based on long-term data over the past 70 years to answer this question. `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"FileAttachment(\"climate-migration1 1 (1).png\").image()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"md`\n[*Source*](https://www.refugeesinternational.org/reports/2021/7/12/task-force-report-to-the-president-on-the-climate-crisis-and-global-migration-a-pathway-to-protection-for-people-on-the-move)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":14,"value":"$4b","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"md`[*Source*](https://www.wfpusa.org/emergencies/dry-corridor/)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"md`-----`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":20,"value":"md`\n## Total natural disasters in Mexico, Guatemala, and El Salvador\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":34,"value":"Swatches(d3.scaleOrdinal(['Flood','Drought','Storm','Wildfire','Extreme temperature'], (['#DD3429','#F38366','#E6E7E8', '#818185', '#393A3B'])));","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":85,"value":"chart1 = {\n const svg = d3.create(\"svg\")\n .attr(\"viewBox\", [0, 0, width, height1]);\n\n \n for(const decade of decades){\n\n svg.append(\"g\")\n // .attr(\"fill\", '#DD322A')\n .selectAll(\"rect\")\n .data(decade.events)\n .enter()\n .append('a')\n //.attr('xlink:href',d=>d.link)\n // .attr('target',\"_blank\")\n .append(\"rect\")\n .attr(\"x\",(d, i) => decadeScale(decade.decade) + (i * (decadeScale.bandwidth()/decade.count)))\n .attr(\"y\", 10)\n .attr(\"height\", height1-40)\n .attr(\"width\", (decadeScale.bandwidth()/decade.count))\n .attr(\"fill\", (d,i)=> colorScale(d.disaster));\n }\n svg.append(\"g\")\n .call(xAxis1);\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":"$undefined"},{"id":87,"value":"md`\n[*Source*](https://public.emdat.be/data)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":89,"value":"md`Since the 1950s, Natural Disaster has been increased continuously in Central America. This increase ought to climate change caused by global warming. On the other hand, if you look at the migration trends from these countries to the United States, you will see that the trends are generally consistent as the lines go far denser over time.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":102,"value":"md`-----`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":99,"value":"md`\n## Migration from Mexico, Guatemala, and El Salvador to the US\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":96,"value":"$4c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"md`\nThe width of each line means the number of migrants to the US per decade, and we can see the lines are getting thicker over time since the 1950s.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":106,"value":"md`-----`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":108,"value":"md`## Where these people have been heading for in the US?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":110,"value":"md`\n### Filtering and Viz Controls`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":112,"value":"//Create some buttons for each source country\nviewof selectedSources = Inputs.checkbox(supportedSources, {\n value: [\"El Salvador\", \"Mexico\", \"Guatemala\"]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":227,"value":"//Create some buttons for each column from CSV file\nviewof selectedPeriod = Inputs.radio(supportedYears, { value: \"2010\" })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":114,"value":"viewof animated = Inputs.toggle({\n label: \"Check this to Animate!\",\n value: false\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":115,"value":"viewof playAgain = Inputs.button(\"Play!\",{\n label: \"Click to Replay!\",\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":118,"value":"$4d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":120,"value":"md`The migration rates to each state in the US vary, and the difference depends on diverse factors like the number of jobs. This map shows the number of total migrants from Central America to each state in the US. The speed of movement of each dashed line stands for the number of migrants by decade. And the size of the circles means the accumulation of the total number of migrants to each state. (It only shows the information of top ten destination states in the US)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":122,"value":"md`-----`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":124,"value":"md`## Projections of Future Migration`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":232,"value":"FileAttachment(\"climate-refugee 1.png\").image()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":126,"value":"md`\n[*Source*](https://www.refugeesinternational.org/reports/2020/5/7/climate-migration-and-displacement-what-are-the-implications-for-human-rights-law)\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"md`Even if other factors such as socio-economic conditions in Central America and the United States are taken into account, the overall migration rate is still increasing under the influence of continuous environmental factors and is expected to increase in the future. A variety of approaches are needed, such as helping people transition into other occupations through training and conducting additional research on climate change.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":37,"value":"md`-----`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":27,"value":"md`### Appendix`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":30,"value":"md`#### general`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":24,"value":"d3 = require(\"d3@7\", \"d3-sankey@0.12\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":32,"value":"import {legend, Swatches} from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"import { slider, checkbox } from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"import { radio, select } from '@jashkenas/inputs';","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"height = 400","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":45,"value":"margin = ({top:20, right:30, bottom:30, left:40})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"md`#### barchart`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":49,"value":"rawData = FileAttachment(\"Disaster5.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":51,"value":"refineData = rawData.map((disasterData) => ({\n scope: disasterData.Scope,\n year: disasterData.Year,\n date: disasterData.Year+\"-\"+disasterData.Month+\"-\"+disasterData.Day,\n disaster: disasterData.Disaster,\n eventName: disasterData.EventName,\n country: disasterData.Country,\n region: disasterData.Region\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":53,"value":"scope = groupBy(\n refineData.filter((d) => d.year),\n \"scope\"\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":55,"value":"groupBy = (items, key) =>\n items.reduce(\n (result, item) => ({\n ...result,\n [item[key]]: [...(result[item[key]] || []), item]\n }),\n {}\n )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"flatDates = Object.values(scope)\n .map((scope) => scope.map((dateWhole) => dateWhole.date))\n //remove by city sorting\n .flat()\n //remove undefined\n .filter((d) => d)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":59,"value":"flatYears = Object.values(scope)\n .map((scope) => scope.map((dateYear) => dateYear.year))\n //remove by city sorting\n .flat()\n //remove undefined\n .filter((d) => d)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":61,"value":"decades = Object.entries(scope).map(d=>({decade:parseInt(d[0]),events:d[1], count:d[1].length}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":63,"value":"colorScale = d3.scaleOrdinal().domain(['Flood','Drought','Storm','Wildfire','Extreme temperature']).range(['#DD3429','#F38366','#E6E7E8', '#818185', '#393A3B'])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":65,"value":"decadeScale = d3.scaleBand().domain(decades.map(d=>d.decade)).range([margin.left,width-margin.right])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":67,"value":"decadeScale.bandwidth()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":69,"value":"JSON.stringify(refineData)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":71,"value":"x1 = d3.scaleBand()\n .domain(d3.range(refineData.length))\n .range([margin1.left, width - margin1.right])\n .padding(0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":73,"value":"margin1 = ({top: 30, right: 0, bottom: 30, left: 40})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":75,"value":"height1 = 500","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":77,"value":"xScale = d3\n .scaleTime()\n .domain(d3.extent(flatYears))\n .range([margin1.left , width - margin1.right])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":79,"value":"xAxis1 = (g) =>\n g\n .attr(\"transform\", `translate(0,${height1 -30})`)\n .call(d3.axisBottom(xScale))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":81,"value":"styles = html`\n `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":83,"value":"$4e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":130,"value":"md`#### Sankey Chart`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":131,"value":"d3Sankey = require(\"d3-sankey\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":133,"value":"importData = FileAttachment(\"untitled-10-1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":135,"value":"//Read about styling options available at https://github.com/d3/d3-sankey\nsankey = d3Sankey\n .sankey()\n .nodeWidth(30)\n .nodePadding(10)\n .linkSort(d3.ascending)\n .extent([\n [horizontalMargin, verticalMargin],\n [width - horizontalMargin, height3 - verticalMargin]\n ])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"nodes = importData\n .map((d) => ({ name: d.Hometown + \" \" + d.year }))\n .concat([{ name: \"United States\" }])\n .sort((a, b) =>\n d3.descending(a.Hometown + \" \" + a.year, b.Hometown + \" \" + b.year)\n )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":140,"value":"links = importData.map((d) => ({\n source: d.Hometown + \" \" + d.year,\n target: \"United States\",\n value: d.value\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":142,"value":"sankeyData = {\n const sD = {\n nodes: nodes,\n links: links\n };\n\n sD.links.map((link) => {\n link.source = sD.nodes.findIndex((node) => node.name == link.source);\n link.target = sD.nodes.findIndex((node) => node.name == link.target);\n });\n\n return sankey(sD);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":144,"value":"height3 = 600","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":145,"value":"horizontalMargin = 30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":148,"value":"verticalMargin = 10","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":150,"value":"colors= ({Mexico:\"#DD3429\", Guatemala:\"#F38366\", \"El Salvador\":\"#E6E7E8\"})\n\n// Swatches(d3.scaleOrdinal(['Flood','Drought','Storm','Wildfire','Extreme temperature'], (['#DD3429','#F38366','#E6E7E8', '#818185', '#393A3B'])));","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":152,"value":"md`#### map`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":154,"value":"height2 = 1000","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":156,"value":"html` \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":158,"value":"elSalvador = FileAttachment(\"El Salvador.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":159,"value":"mexico = FileAttachment(\"Mexico.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":161,"value":"guatemala = FileAttachment(\"Guatemala.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":163,"value":"//Create an empty array, and combine (concatenate) all migration data together into it\nmigrationData = [].concat(elSalvador, mexico, guatemala)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":166,"value":"//computed us center is confused by Alaska+Hawaii, so here we just set it ourselves\n//https://en.wikipedia.org/wiki/Geographic_center_of_the_United_States\nusCentroid = [-103.75, 40]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":168,"value":"states = FileAttachment(\"gz_2010_us_040_00_5m (1).json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":171,"value":"sourceScale = d3.scalePoint().domain(supportedSources).range([0, 1])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":173,"value":"//To read about what's happening here...\n//https://observablehq.com/@observablehq/introduction-to-generators\n// {\n// while (animated == true) {\n// for (const year of supportedYears) {\n// viewof selectedPeriod.value = year;\n// viewof selectedPeriod.dispatchEvent(new Event(\"input\"));\n// yield Promises.delay(5000);\n// }\n// }\n// }","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":175,"value":"//for converting long-lat to pixels\nprojection = d3\n .geoAzimuthalEqualArea()\n .center([-10, -320])\n .scale(1200)\n //center on the Americas\n .rotate([90, 0, 0])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":176,"value":"targetScale = d3\n .scalePoint()\n .domain(states.features.map((d) => d.properties.NAME))\n .range([0, 1])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":179,"value":"activeMigrationValues = migrationData\n .filter((d) => selectedSources.includes(d.Hometown))\n .map((d) => d[selectedPeriod])\n .map((d) => parseInt(d))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":181,"value":"circleScale = d3.scaleLinear().domain(d3.extent(Object.values(totalMigration))).range([0,100])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":183,"value":"growScale = d3.scaleLinear().domain(d3.extent(Object.values(totalMigration))).range([1000,5000])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":185,"value":"totalMigration = {\n const names = statesWithMigrationData.features.map(d=>d.properties.NAME)\n \n const totalMigration = statesWithMigrationData.features\n //for loop through states\n .map(state=>state.migration\n //get value for all decade per country\n .map(d=>Object.values(d))\n //combine countries\n .flat()\n //remove words\n .filter(e=>Boolean(parseInt(e)))\n //convert to numbers\n .map(f=>parseInt(f)).reduce((acc,val)=>acc+val,0))\n\n\n return names.reduce((acc,val,index) => { acc[val] = totalMigration[index]; return acc }, {} )\n\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":187,"value":"parseInt(\"Mexico\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":189,"value":"[10,3,2].reduce((acc,val)=>acc+val,0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":225,"value":"statesWithMigrationData = ({\n type: \"FeatureCollection\",\n features: states.features\n .map((state) => {\n return {\n ...state,\n migration: migrationData.filter(\n (d) => d.Destination == state.properties.NAME\n )\n };\n })\n .map((state) => ({\n ...state,\n centroid: d3.geoCentroid(state),\n\n trails: supportedGeoData.map((country) => ({\n type: \"Feature\",\n properties: {\n source: country.properties.name,\n target: state.properties.NAME,\n migration: migrationData\n .filter((d) => d.Destination == state.properties.NAME)\n .filter((d) => d.Hometown == country.properties.name)[0],\n distance: d3.geoDistance(\n d3.geoCentroid(state),\n d3.geoCentroid(country)\n )\n },\n geometry: {\n type: \"LineString\",\n coordinates: [d3.geoCentroid(country), d3.geoCentroid(state)]\n }\n }))\n }))\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":193,"value":"parseInt(\n statesWithMigrationData.features[0].migration.filter(\n (d) => d.Hometown == \"Mexico\"\n )[0][\"2010\"]\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":195,"value":"migrationScale = d3\n .scaleLinear()\n .domain(\n d3.extent(\n migrationData.filter((d) => selectedSources.includes(d.Hometown)),\n (d) => parseInt(d[selectedPeriod])\n )\n )\n .range([0, 1])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":197,"value":"//show min and maxes to ensure everything is working\nd3.extent(\n migrationData.filter((d) => selectedSources.includes(d.Hometown)),\n (d) => parseInt(d[selectedPeriod])\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":199,"value":"html` \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":220,"value":"// viewof country = Inputs.radio(d3.group(refineData, d => d.country))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":201,"value":"//Find unique source countries from concatenated array\nsupportedSources = Array.from(new Set(migrationData.map((d) => d.Hometown)))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":203,"value":"supportedGeoData = supportedSources.map((d) =>\n countries.features.find((e) => e.properties.name == d)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":205,"value":"northAmerica = ({\n type: \"FeatureCollection\",\n features: countries.features\n .filter((d) => d.properties.continent == \"North America\")\n .filter((d) => d.properties.name != \"United States\")\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":207,"value":"countries = FileAttachment(\"custom.geo-3 (1).json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":212,"value":"//Find all different column headers from first row in CSV file, and then remove the two that aren't time-related\nsupportedYears = Object.keys(migrationData[0])\n .filter((d) => d != \"Hometown\")\n .filter((d) => d != \"Destination\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":214,"value":"//for how many seconds the animaton will take, based on population\ndurationScale = d3.scaleLinear().domain(activeMigrationValues).range([20, 10])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":216,"value":"fakeScale = d3.scaleOrdinal().domain(supportedSources).range([\"#F9D9D6\",\"#F08D82\",\"#F4B1AB\"])\n// Swatches(d3.scaleOrdinal(['Flood','Drought','Storm','Wildfire','Extreme temperature'], (['#DD3429','#F38366','#E6E7E8', '#818185', '#393A3B'])));","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":218,"value":"fakeScale(\"Mexico\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W4f","stdlib":"1"}} 24:null