3e:null 3f:["$","title",null,{"children":"solar kyiv oblast | data-lab | Observable"}] 45:Ta9d,data1 = [ { step: 1, bar_label: "Довоєнна база:\nусі встановлені СЕС\nстаном на 2021–2023", label: "Довоєнна встановлена потужність сонячних електростанцій в Україні у 2021–2023 роках", value_gw: 8.1, value_label: "8,1 ГВт", diff_label: "≈8,1 ГВт", group: "Довоєнна база", is_forecast: false }, { step: 2, bar_label: "Після окупації:\nчастина довоєнних СЕС\nстала недоступною", label: "Оцінка потужності СЕС, яка залишилася в статистиці IRENA після окупації та втрати доступу до частини довоєнних станцій", value_gw: 5.5, value_label: "5,5 ГВт", diff_label: "−2,6 ГВт", group: "Втрачена потужність", is_forecast: false }, { step: 3, bar_label: "2023:\nперші нові СЕС\nпід час великої війни", label: "Кумулятивна потужність після будівництва приблизно 0,5 ГВт нових СЕС у 2023 році", value_gw: 6.0, value_label: "6,0 ГВт", diff_label: "+0,5 ГВт", group: "Відновлення", is_forecast: false }, { step: 4, bar_label: "2024:\nбум малих СЕС\nдля власного споживання", label: "Кумулятивна потужність після будівництва приблизно 0,85 ГВт нових СЕС у 2024 році", value_gw: 6.85, value_label: "6,85 ГВт", diff_label: "+0,85 ГВт", group: "Відновлення", is_forecast: false }, { step: 5, bar_label: "2025:\nринок додає ще\nблизько 1,5 ГВт", label: "Кумулятивна потужність після будівництва приблизно 1,5 ГВт нових СЕС у 2025 році", value_gw: 8.35, value_label: "8,35 ГВт", diff_label: "+1,5 ГВт", group: "Відновлення", is_forecast: false }, { step: 6, bar_label: "2026 прогноз:\nнове будівництво\nможе перекрити втрати", label: "Прогнозована кумулятивна потужність після будівництва щонайменше 1,5 ГВт нових СЕС у 2026 році", value_gw: 9.85, value_label: "9,85 ГВт", diff_label: "+≥1,5 ГВт", group: "Прогноз", is_forecast: true } ]46:T54a,vis3 = Plot.plot({ width: width > 650 ? 650 : 350, style: { fontWeight: 400, fontSize: 12 }, height: 350, // marginTop: 70, marginRight: 50, marginBottom: 60, marginLeft: 152, // title: "Україна може побудувати більше СЕС, ніж втратила через окупацію", subtitle: "Оцінки кумулятивної встановленої потужністі сонячних електростанцій, ГВт", x: { label: "Потужність СЕС, ГВт", grid: true, domain: [0, 11], labelArrow: null }, y: { label: null, domain: data1.map((d) => d.bar_label) }, marks: [ Plot.ruleX([0]), Plot.barX(data1, { y: "bar_label", x: "value_gw", fill: "orange", fillOpacity: (d) => (d.is_forecast ? 0.35 : 1) // title: (d) => `${d.label}\n${d.value_label}\nЗміна: ${d.diff_label}` }), Plot.text(data1, { y: "bar_label", x: "value_gw", text: "diff_label", dx: 3, fill: "black", fontSize: 14, fontWeight: 700, textAnchor: "start" }), Plot.text(data1, { y: "bar_label", x: "value_gw", text: "value_label", dx: -10, fill: "white", fontSize: 12, fontWeight: 600, textAnchor: "end" }) ] })47:T191a,function maps( pointsData, period, annotation, { w = 950, h = 700, s = 45000, c = 2, center = [30.55, 50.4] } = {} ) { const [longitude, latitude] = center; const projection = d3_ .geoMercator() .center([longitude, latitude]) .scale(s) .translate([w / c, h / 2]); const tile = d3_ .tile() .size([w, h]) .scale(projection.scale() * 2 * Math.PI) .translate(projection([0, 0])); const tiles = tile(); const path = d3_.geoPath(projection); const kyivPath = path(kyivArea); const maskId = `kyiv-mask-${Math.random().toString(36).slice(2)}`; const points = pointsData .map((d) => ({ ...d, lon: +d.lon, lat: +d.lat, area_ha: d.area_ha == null || d.area_ha === "" ? null : +d.area_ha, capacity_mw: d.capacity_mw == null || d.capacity_mw === "" ? null : +d.capacity_mw, year: d.year == null || d.year === "" ? null : +d.year })) .filter((d) => d.period == period); const clipId = `kyiv-clip-${Math.random().toString(36).slice(2)}`; return Plot.plot({ width: w, height: h, style: { fontSize: 14 // fontFamily: "'PT Sans', Arial, sans-serif" // background: "blue" }, projection: d3_ .geoMercator() .scale(s) .center([longitude, latitude]) .translate([w / c, h / 2]), marks: [ // 1. Тайлова карта () => svg``, // 2. Точки Plot.dot(points, { x: "lon", y: "lat", // r: (d) => (d.area_ha ? Math.sqrt(d.area_ha) * 1.3 : 4), r: 4, fill: "orange", stroke: "white", strokeWidth: 1, fillOpacity: 0.9, title: (d) => `${d.name || d.object_class} Період: ${d.period} Рік: ${d.year ?? "невідомо"} Площа: ${d.area_ha ?? "немає даних"} га Потужність: ${d.capacity_mw ?? "немає даних"} МВт` }), // 3. Білий фон поверх усього, але з "діркою" по Київській області () => svg``, // 4. Межі областей поверх білого фону // Plot.geo(oblastBorders, { // stroke: "#d0d0d0", // strokeWidth: 0.7 // }) // 5. Зовнішній контур України // Plot.geo(countryBorder, { // stroke: "#b5b5b5", // strokeWidth: 1 // }) // 6. Київська область + місто Київ поверх усього Plot.geo(kyivArea, { fill: "none", stroke: "#333", strokeWidth: 0.5 }), Plot.arrow( [ { from: "Бориспіль", to: "Київ", lon1: 30.855, lat1: 51.15, lon2: 30.4234, lat2: 50.5301 } ], { x1: "lon1", y1: "lat1", x2: "lon2", y2: "lat2", stroke: "black", strokeWidth: 1, headLength: 10, insetEnd: 4, bend: 30, opacity: (d) => (annotation ? 1 : 0) } ), Plot.text( [ "Після 2022 року більшість задокументованих СЕС значної площі зосереджені в Києві — як, наприклад, дахова станція «Епіцентру»." ], { frameAnchor: "top-left", dy: 60, dx: 210, text: (d) => d, fontSize: 15, fontWeight: 300, fill: "#111", lineWidth: 14, opacity: (d) => (annotation ? 1 : 0) } ), Plot.text( [ "Промислові СЕС приблизно від 1 МВт і дахові станції на покрівлях понад ~2000 м² на Київщині." ], { frameAnchor: "top-left", dy: 10, dx: 10, text: (d) => d, fontSize: 18, fontWeight: 400, fill: "#111", lineWidth: 26, opacity: (d) => (annotation ? 0 : 1) } ), Plot.text(["ДО 2022 РОКУ"], { frameAnchor: "top-left", dy: 50, dx: 10, text: (d) => d, fontSize: 16, fontWeight: 800, fill: "#333", lineWidth: 34, opacity: (d) => (annotation ? 0 : 1) }), Plot.text(["ПІСЛЯ 2022 РОКУ"], { frameAnchor: "top-left", dy: 50, dx: 10, text: (d) => d, fontSize: 16, fontWeight: 800, fill: "#333", lineWidth: 34, opacity: (d) => (annotation ? 1 : 0) }), Plot.text( [ "Джерела збору інформації: статистика IRENA, реєстри промислових станцій, супутникові знімки, OpenStreetMap, міські програми співфінансування для ОСББ та публікації у пресі." ], { frameAnchor: "bottom-left", dy: -15, dx: 0, text: (d) => d, fontSize: 12, fontWeight: 400, fill: "grey", lineWidth: 34, opacity: (d) => (annotation ? 0 : 1) } ) ] }); 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`https://server.arcgisonline.com/ArcGIS/rest/services/Canvas/World_Dark_Gray_Base/MapServer/tile/${z}/${y}/${x}`\n\n// url = (x, y, z) =>\n// `https://basemaps.cartocdn.com/dark_all/${z}/${x}/${y}.png`\n\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1028,"value":"d3_ = require(\"d3-geo@3\", \"d3-tile@1\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1030,"value":"scale = 300000","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1116,"value":"width_ = 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2.2\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3005,"value":"vis2 = maps(pointsData, \"after_2022\", true, {\n w: 450,\n h: 650,\n s: 8000,\n c: 2.2\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2564,"value":"topodata = FileAttachment(\"ukraine_map_main.json\").json()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2906,"value":"geojson = await topojson.feature(topodata, 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