27:null 28:["$","title",null,{"children":"Untitled | Laia's | Observable"}] 2d:T48a,

Qui és més responsable del canvi climàtic? Una mirada global a les emissions històriques de CO₂

Dades actualitzades fins 2023 per a aquest exercici: Our World in Data

A partir de l'article del New York Times amb font del "The Global Carbon Project" By Nadja Popovich and Brad Plumer Nov. 12, 2021

I de la nova versió, com a exercici de classe, d'en Xaquín G.V. July 25, 2025

Una de les preguntes més difícils de respondre en la lluita contra el canvi climàtic és també una de les més incòmodes: qui és realment responsable de la crisi que vivim?.

A la COP26 de Glasgow, aquell debat va ocupar un lloc central quan les nacions més vulnerables van exigir que els països rics —la riquesa dels quals s’ha construït al llarg de dècades d’ús de combustibles fòssils— assumissin la responsabilitat no només de reduir dràsticament les emissions, sinó també de compensar els països més pobres que ja pateixen les conseqüències dels desastres climàtics.

2e:T712,Plot.plot({ height: 640, width, caption: "Nota: El grup de països rics i desenvolupats es basa en la definició de l’Annex II de les Nacions Unides. El transport internacional no es comptabilitza com a part de les emissions totals de cap dels dos grups. Les dades reflecteixen les emissions de diòxid de carboni basades en el territori, provinents de combustibles fòssils i de la producció de ciment, però no inclouen l’ús del sòl ni la silvicultura. El gràfic mostra emissions per país i territori.", color: { legend: false }, // no fem escala; pintem directament x: { axis: null }, y: { axis: null }, marks: [ Plot.rect(emissionsRangeLeaves, { x1: "x0", x2: "x1", y1: "y0", y2: "y1", r: 2, fill: d => { const g = groupLabel(d); // "Annex II" | "Non‑Annex II" | "International transport" if (g === "International transport") return INTL; const b = annexBoolFromGroup(g); // true | false return colorsAnnex2[b] ?? "#bfbfbf"; // {true:"#d8b365", false:"#5ab4ac"} }, tip: true, title: d => `${d.data.name} Grup: ${groupLabel(d)} Regió: ${d.parent?.data?.name ?? "—"} Emissions: ${fmt(d.data.value)} MtCO₂, % del total: ${fmtPct(d.data.value / totalRange)}` }), Plot.text(emissionsRangeLeaves, { filter: d => (d.x1 - d.x0 > 16 && d.y1 - d.y0 > 72) || (d.x1 - d.x0 > 72 && d.y1 - d.y0 > 16), x: d => (d.x1 - d.x0 > d.data.name.length * 6 ? d.x0 + 3 : d.x0 + 10), y: d => (d.x1 - d.x0 > d.data.name.length * 6 ? d.y1 - 9 : d.y0 + 2), rotate: d => (d.x1 - d.x0 > d.data.name.length * 6 ? 0 : -90), text: d => `${d.data.name}\n${fmtPct(d.data.value / totalRange)}`, textAnchor: "start" }) ] })2f:T794,Plot.plot({ width, height: 600, x: { domain: [1850, 2025], ticks: [1850, 1900, 1950, 2000, 2020], tickFormat: d => d.toString() }, y: { ticks: [], grid: true }, color: { domain: ordreApilat, range: ordreApilat.map(d => colorsStackedAnnex[d]), legend: false }, marks: [ // Àrees apilades Plot.areaY(emissionsApilades, { x: "year", y: "emissions", z: "group", fill: "group", order: ordreApilat, tip: d => `${d.group} (${d.year}): ${d.emissions.toFixed(2)}`, tip: true }), // Línies blanques als contorns Plot.lineY(contornsApilats, { x: "year", y: "emissions", z: "group", stroke: "white", strokeWidth: 0.8 }), // línies curtes a la dreta per referència visual Plot.line( [10, 20, 30].map(y => [ {x: 2020, y}, {x: 2024, y} ]).flatMap((seg, i) => seg.map(p => ({...p, id: i}))), { x: "x", y: "y", stroke: "#aaa", strokeDasharray: "4,2", strokeWidth: 1, z: "id" } ), // Etiquetes de les línies Plot.text( [10, 20, 30].map(y => ({ y, text: `${y}` })), { x: 2024, y: "y", text: "text", fill: "#555", textAnchor: "start", dx: 6, dy: 4, fontSize: 11, } ), // 🆕 Etiqueta "Gt CO₂" Plot.text( [{ x: 2017, y: 38, text: "↑ Gt CO₂" }], { x: "x", y: "y", text: "text", fontSize: 13, fill: "#333", fontWeight: "bold", textAnchor: "start" } ), // Etiquetes dels grups al final del gràfic Plot.text(labelsStacked, { x: "x", y: "y", text: "text", fontSize: d => d.fontSize, fontWeight: d => d.fontWeight, fill: "#111", dx: d => d.dx, dy: d => d.dy, textAnchor: d => d.textAnchor }) ] })30:T551,Plot.plot({ width, height: width / 2, color: { legend: false }, x: { axis: null }, y: { axis: null }, marks: [ Plot.rect(emissionsLeavesTransport, { x1: "x0", x2: "x1", y1: "y0", y2: "y1", r: 2, fill: d => { if (d.parent?.data?.name === "International transport") return COLOR_TRANSPORT; if ("annex2" in d.data) return colorsAnnex2[d.data.annex2]; return "#bfbfbf"; }, tip: true, title: d => { // País if ("annex2" in d.data) { const grup = d.data.annex2 ? "Annex II" : "Non‑Annex II"; return `${d.data.name} Emissions: ${fmtTransp(d.data.value)} MtCO₂ % del total: ${fmtPctTransp(d.data.value / totalGlobalYear)}`; } return `${d.data.name} Emissions: ${fmtTransp(d.data.value)} MtCO₂ % del total global: ${fmtPctTransp(d.data.value / totalGlobalYear)}`; } }), Plot.text(emissionsLeavesTransport, { x: d => (d.x0 + d.x1) / 2, y: d => (d.y0 + d.y1) / 2, text: d => `${d.data.name} ${fmtPct(d.data.value / totalGlobalYear)}`, fill: "white", fontSize: 14, textAnchor: "middle", dy: 0, rotate: d => { // Si el rectangle és molt més alt que ample, gira el text! const minWidth = d.data.name.length * 10; // 10 píxels per lletra aprox return (d.x1 - d.x0) < minWidth ? -90 : 0; } }) ] }) 31:T8fa,Plot.plot({ width, height: 300, marginLeft: 50, marginRight: 35, marginBottom: 40, x: { domain: [1950, 2025], ticks: [1950, 1970, 1990, 2010, 2020], tickFormat: d => d.toString() }, y: { ticks: [], grid: true }, marks: [ // Àrea apilada Plot.areaY(stackedInternational.filter(d => d.year <= yearTransport), { x: "year", y: "co2", z: "type", fill: COLOR_TRANSPORT, tip: true }), // Línia blanca superior Plot.line( stackedInternational.filter(d => d.type === "Aviation"), { x: "year", y: "co2", stroke: "#fff", strokeWidth: 1 } ), // Línia Japó annex2 japanLineFiltered.length ? Plot.line( japanLineFiltered.filter(d => d.year <= yearTransport), { x: "year", y: "co2", stroke: "#d8b365AA", strokeDasharray: [6, 3], strokeWidth: 1.8, tip: true, title: "Emissions de Japó", // Això farà que surti a la llegenda! // Si vols que surti només la línia i no una icona de punt, pots afegir symbol: null // symbol: null } ) : null, // Línies referència (opcional) Plot.line( [200, 400, 600, 800, 1000].map(y => [ {x: 2021, y}, {x: 2024, y} ]).flatMap((seg, i) => seg.map(p => ({...p, id: i}))), { x: "x", y: "y", stroke: "#aaa", strokeDasharray: "4,2", strokeWidth: 1, z: "id" } ), // Etiquetes valors referència (opcional) Plot.text( [200, 400, 600, 800, 1000].map(y => ({ y, text: `${y}` })), { x: 2024, y: "y", text: "text", fill: "#555", textAnchor: "start", dx: 6, dy: 4, fontSize: 11 } ), // Etiqueta "Mt CO₂" Plot.text( [{ x: 2022, y: 1200, text: "↑ Mt CO₂" }], { x: "x", y: "y", text: "text", fontSize: 13, fill: "#333", fontWeight: "bold", textAnchor: "start" } ), // Etiquetes grups (noms dins àrees) Plot.text(labelsStackedTransport, { x: "x", y: "y", text: "text", fontSize: d => d.fontSize, fontWeight: d => d.fontWeight, fill: "#fff", dx: d => d.dx, dy: d => d.dy, textAnchor: d => d.textAnchor }), ].filter(Boolean) })32:Td8e,mapaEmissionsDiff2 = { // Tria la variable segons el selector const variable = Selecciona.includes("Total") ? "ConsumptionEmissions" : "DiffConsProd"; // Filtra dades vàlides i per any const dadesFiltrades = dadesPerMapaDiff.filter( d => d[variable] != null && d.lat != null && d.lon != null && d.year === anySeleccionat ); // Suma només per consum (per la tooltip, només aplica a consumption) const emissionsTotalsPeriode = variable === "ConsumptionEmissions" ? dadesFiltrades.reduce((sum, d) => sum + (d.ConsumptionEmissions || 0), 0) : null; // Paleta de colors per a la diferència: diverging const colorOpts = variable === "DiffConsProd" ? { type: "diverging", domain: [-absMaxMapa, 0, absMaxMapa], // mínim, centre (zero), màxim range: ["#d8b365", "#AAAAAA", "#5ab4ac"], legend: true, label: "Consum - Producció (Mt)", ticks: 3, tickFormat: d => (d / 1e6).toLocaleString("ca") + "Mt" } : { domain: colorBy === "region" ? regionEntries.map(([region]) => region) : [true, false], range: colorBy === "region" ? regionEntries.map(([_, color]) => color) : [colorsAnnex2.true, colorsAnnex2.false], legend: true, label: colorBy === "region" ? "Regió" : "Country group", tickFormat: colorBy === "region" ? undefined : d => labelAnnex2[d] }; // Rangs de radi (pots ajustar per la diferència si vols) const rRange = variable === "ConsumptionEmissions" ? [2, 40] : variable === "DiffConsProd" ? [2, 40] : [2, 20]; return Plot.plot({ width, height: 480, projection: { type: "equal-earth", rotate: [-10, 0] }, r: { domain: d3.extent(dadesFiltrades, d => Math.abs(d[variable])), range: rRange }, color: colorOpts, marks: [ Plot.geo(landMap, { fill: "#f3f3f3" }), Plot.geo(countriesMap, { stroke: "#ccc", strokeWidth: 0.8 }), Plot.circle(dadesFiltrades, { x: d => d.lon, y: d => d.lat, r: d => Math.abs(d[variable]), fill: variable === "DiffConsProd" ? d => d.DiffConsProd : colorBy === "region" ? d => d.region : d => d.annex2, stroke: colorBy === "region" ? d => d.region : d => d.annex2, fillOpacity: 0.4, strokeWidth: 0.8, title: d => { if (variable === "ConsumptionEmissions") { const percent = d.ConsumptionEmissions && emissionsTotalsPeriode > 0 ? (d.ConsumptionEmissions / emissionsTotalsPeriode) * 100 : null; return `${d.country} Regió: ${d.region} Emissions: ${(d.ConsumptionEmissions / 1e6).toFixed(2)} Mt CO₂ ${percent !== null ? `% del total global per ${anySeleccionat}: ${percent.toFixed(1)}%` : ""}`; } else if (variable === "ConsumptionPerCapita") { return `${d.country} Regió: ${d.region} Emissions per capita: ${typeof d.ConsumptionPerCapita === "number" && !isNaN(d.ConsumptionPerCapita) ? d.ConsumptionPerCapita.toFixed(2) : "n/d"} t CO₂`; } else if (variable === "DiffConsProd") { return `${d.country} Regió: ${d.region} Diferència consum-producció: ${(d.DiffConsProd / 1e6).toFixed(2)} Mt CO₂ (${d.DiffConsProd > 0 ? "Importador net" : d.DiffConsProd < 0 ? "Exportador net" : "Equilibri"})`; } }, tip: true }) ] }); } 33:T561,Plot.plot({ width, height: 420, marginLeft: (width - 640) / 2, marginRight: (width - 740) / 2, color: {legend: false}, // fem servir colors directes x: {label: null, ticks: "none", facet: "exclude"}, y: { label: null, tickSize: 0, domain: (() => { const side = (ordenarPer === MODE_TOT) ? MODE_TOT : MODE_PC; return d3 .sort( barData.filter(d => d.type === side), (a, b) => d3.descending(a.value, b.value) ) .map(d => d.country); })() }, fx: {label: null, domain: [MODE_TOT, MODE_PC], padding: 0.1, tickFormat: () => "", // amaga els títols per defecte del facet tickSize: 0}, marks: [ Plot.barX(barData, { y: "country", x: "value", fx: "type", // Colors segons Annex II / No Annex II fill: d => colorsAnnex2?.[d.hasAnnex2] ?? "#bfbfbf" }), Plot.text(barData, { y: "country", x: "value", fx: "type", text: d => (d.type === MODE_TOT ? d3.format(".1f") : d3.format(".2f"))(d.value), textAnchor: "start", dx: 6 }), // títols grans a cada facet Plot.text(facetTitles, { fx: "type", text: "title", frameAnchor: "top", // o "top-left" dy: -14, // separació del marc fontSize: 16, fontWeight: 500 }) ] })34:T830,{ let selectedCountry = null; // El grid interactiu const grid = html`
${tilePlots.map((plot, i) => htl.html.fragment`
{ selectedCountry = worldGrid[i].feature; infoDiv.innerHTML = info(selectedCountry); }} onmouseleave=${() => { selectedCountry = null; infoDiv.innerHTML = info(null); }} > ${plot}
`)}
`; // Panell d'info const infoDiv = html`
`; // Funció per pintar la info function info(iso) { if (!iso) return `Pasa el ratolí per un país…`; const countryData = owidBase .filter(d => d.iso_code === iso && typeof d.co2 === "number" && d.co2 !== null && d.year >= 1990) .sort((a, b) => a.year - b.year); if (countryData.length < 10) return `${iso}
SENSE DADES`; const first = countryData[0].co2; const last = countryData[countryData.length - 1].co2; const percent = ((last - first) / (first || 1)) * 100; // Determina la direcció const trend = percent > 0 ? `↑ +${percent.toFixed(1)}% (creixement)` : percent < 0 ? `↓ ${percent.toFixed(1)}% (reducció)` : `0% (estancat)`; return ` ${countryData[0].country || iso}
Canvi 1990 → ${countryData[countryData.length - 1].year}:
${trend} `; } // Inicialitza info buida infoDiv.innerHTML = info(null); // Retorna grid + panell d'info return html`${grid}${infoDiv}`; } 35:T4cf,worldGridString = `,,,,,,ISL,,,,,,,NOR,SWE,FIN,EST,,,,,,,,,,,,,,,,,, ,,,,,,,,,,IRL,GBR,,,,LTU,LVA,,,,,,,,,,,,,,,,,, ,CAN,,,,,,,,,,,NLD,DNK,POL,,BLR,,,,,,,,,,,,,,,,,, ,USA,,,,,,,,,,BEL,LUX,DEU,CZE,SVK,UKR,,,,,,,,,,,,,,,,,, ,MEX,,BHS,,,,,,,AND,FRA,CHE,LIE,AUT,HUN,ROU,MDA,,,,,,,RUS,,,,,,,,,, GTM,BLZ,,CUB,HTI,DOM,ATG,,,,PRT,ESP,MCO,ITA,SVN,SRB,BGR,,,,,,,,KAZ,,,,,,,,,, SLV,HND,,JAM,,KNA,LCA,BRB,,,,,MLT,SMR,HRV,BIH,MKD,,,GEO,AZE,,UZB,KGZ,,MNG,,PRK,,JPN,,,,, ,NIC,,,,VCT,DMA,,,,,,,,ALB,MNE,GRC,,TUR,,ARM,,TKM,TJK,,,CHN,KOR,,,,,,, ,,CRI,,,TTO,GRD,,,,CPV,,MAR,DZA,,,,CYP,LBN,SYR,IRQ,IRN,AFG,PAK,NPL,BTN,MMR,LAO,,,,,,, ,,,PAN,,,,,,,,GMB,SEN,MRT,TUN,LBY,EGY,PSE,ISR,JOR,SAU,KWT,BHR,,IND,BGD,THA,KHM,VNM,,,,,, ,,,,COL,VEN,GUY,SUR,,,GNB,GIN,GHA,BFA,MLI,NER,SDN,ERI,,YEM,OMN,ARE,QAT,,LKA,,MYS,,,PHL,,,,, ,,,,ECU,BOL,BRA,,,,SLE,CIV,TGO,BEN,NGA,TCD,SSD,ETH,DJI,,,,,,,,SGP,BRN,,,,,,, ,,,,PER,PRY,URY,,,,,,LBR,GNQ,GAB,CMR,CAF,UGA,SOM,,SYC,,,MDV,,,,IDN,PNG,,PLW,FSM,MHL,, ,,,,CHL,ARG,,,,,,,STP,,COG,COD,RWA,KEN,,,,,,,,,,TLS,,,,,NRU,KIR,TUV ,,,,,,,,,,,,,,AGO,ZMB,MWI,BDI,TZA,,COM,,,,,,,,AUS,,,SLB,,WSM, ,,,,,,,,,,,,,,NAM,BWA,ZWE,MOZ,,,MDG,MUS,,,,,,,,NZL,,,VUT,FJI,TON ,,,,,,,,,,,,,,,ZAF,SWZ,,,,,,,,,,,,,,,,,, ,,,,,,,,,,,,,,,,LSO,,,,,,,,,,,,,,,,,,`36:T57c,function plotCountryCO2Trend( data, country, // Codi ISO3 del país size, // Mida del tile/mini-plot stablePercent = 0.10,// % mínim per canviar color (ex: 0.10 = 10%) nYears = 5, // Nº anys a considerar a cada extrem per fer la mitjana yearMin = 1990 // Any mínim a considerar ) { const countryData = data .filter( d => d.iso_code === country && typeof d.co2 === "number" && d.co2 !== null && d.year >= yearMin ) .sort((a, b) => a.year - b.year); if (countryData.length < nYears * 2) return ""; // Mitjana primers nYears i últims nYears const firstAvg = d3.mean(countryData.slice(0, nYears), d => d.co2); const lastAvg = d3.mean(countryData.slice(-nYears), d => d.co2); const delta = lastAvg - firstAvg; const globalAvg = d3.mean(countryData, d => d.co2); const denom = Math.max( Math.abs(firstAvg), Math.abs(lastAvg), Math.abs(globalAvg), 1 ); const relDelta = Math.abs(delta) / denom; let color = "#AAAAAA"; if (relDelta > stablePercent) color = delta > 0 ? "#d8b365" : "#5ab4ac"; return Plot.plot({ width: size, height: size, margin: 4, y: { axis: null }, x: { axis: null }, marks: [ Plot.line(countryData, { x: "year", y: "co2", stroke: color, strokeWidth: 6 }) ] }); } 37:T413,//Merge: crea un nou array amb totes les dades unides pel codi i any dadesPerMapa = dataPvsE .map(d => { const key = `${(d.code || '').trim().toUpperCase()}_${+d.year}`; const owd = owidMap.get(key); if (!owd) return null; const consumption = d.ConsumptionEmissions ?? null; const production = d.ProductionEmissions ?? null; // Comprova que són números reals const diff = (typeof consumption === "number" && typeof production === "number") ? consumption - production : null; return { code: d.code, country: d.country, year: d.year, ConsumptionEmissions: consumption, ProductionEmissions: production, DiffConsProd: diff, ConsumptionPerCapita: owd.consumption_co2_per_capita || owd.co2_per_capita || null, population: owd.population || null, region: owd.region || null, annex2: owd.hasAnnex2 === "TRUE" || owd.hasAnnex2 === true, lat: d.lat ?? owd.lat ?? null, lon: d.lon ?? owd.lon ?? null }; }) .filter(Boolean) 38:T758,styles = html` `39:[{"id":"0f8ddda02b56f3e99969aeac2ec07d97de7afab72f3a3243cd60a0e8a121362f0c1ef345882846504b0e9771d2f6c78ced5152bb595ec841ca6ec4ab7651491f","href":"https://static.observableusercontent.com/files/0f8ddda02b56f3e99969aeac2ec07d97de7afab72f3a3243cd60a0e8a121362f0c1ef345882846504b0e9771d2f6c78ced5152bb595ec841ca6ec4ab7651491f","name":"stk-country.json","type":"application/json","lastModified":1754233028560.517,"size":33007},{"id":"974eb114844dac7b42ebd0f0b2cf2f5cfd03bb279edf1701af98badf2197fd2e412ea763ef80d288bf5914a6c10ef2919b7c7e0960a185e9d148fd72a9276caa","href":"https://static.observableusercontent.com/files/974eb114844dac7b42ebd0f0b2cf2f5cfd03bb279edf1701af98badf2197fd2e412ea763ef80d288bf5914a6c10ef2919b7c7e0960a185e9d148fd72a9276caa","name":"cleanPvsCCo2E.csv","type":"text/csv","lastModified":1754233643345.36,"size":143191},{"id":"fad57c3cf691619993d52bc8300d7adf6c14ed83ae2161bb7bce230f1127d869d380772eb142ad0d8dcaa1ee8d9efad2694487469c5db80ea6f80a23864dfcde","href":"https://static.observableusercontent.com/files/fad57c3cf691619993d52bc8300d7adf6c14ed83ae2161bb7bce230f1127d869d380772eb142ad0d8dcaa1ee8d9efad2694487469c5db80ea6f80a23864dfcde","name":"owidBasePlus.csv","type":"text/csv","lastModified":1754114832555.026,"size":13077357}] 2b:{"id":"c552448cb046fe91","slug":null,"title":"","thumbnail":"0dd3aad4bd2789a04f38b6fbaeadf1b666d744380a9f1cc02fd4f6900475ff9f","access_level":"public","create_time":"$D2025-08-01T13:34:41.068Z","update_time":"$D2025-11-08T18:49:54.464Z","view_time":null,"first_public_time":"$D2025-08-04T18:03:39.098Z","has_unpublished_edits":null,"fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"d731b32f3012da30","login":"laias","name":"Laia's","avatar_url":"https://avatars-next.observableusercontent.com/be24205c7ed3d33bf874278d51cb377c2d0246a6222168762353f5f1973f8a76","tier":"starter_2024"},"version":2649,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"3e5bb3ad8262f4d8","login":"laia2","name":"Laia","avatar_url":"https://avatars-next.observableusercontent.com/9582edf1c51ba105ebf719ebab95f698e1e0902126e3b0aad3431a2320f9bafa","tier":null}],"members":[{"type":"individual","id":"3e5bb3ad8262f4d8","login":"laia2","name":"Laia","avatar_url":"https://avatars-next.observableusercontent.com/9582edf1c51ba105ebf719ebab95f698e1e0902126e3b0aad3431a2320f9bafa","tier":null,"role":"editor"},{"type":"team","id":"d731b32f3012da30","login":"laias","name":"Laia's","avatar_url":"https://avatars-next.observableusercontent.com/be24205c7ed3d33bf874278d51cb377c2d0246a6222168762353f5f1973f8a76","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":11,"collection":null,"type":"notebook","body":{"title":"","cells":[{"id":2584,"value":"
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1021,"value":"$2d","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":620,"value":"Plot.plot({\n width,\n height: 160,\n marginLeft: 150,\n marginRight: 120, // espai per al text dret\n frame: null,\n x: { percent: true, axis: null, grid: false, label: null },\n y: { domain: [\"Population\", \"Historical CO₂ emissions\"], label: null },\n color: { legend: false },\n marks: [\n // barres apilades\n Plot.barX(rowsNormBoth, { y: \"row\", x1: \"x1\", x2: \"x2\", fill: d => fillColor(d) }),\n\n // percentatges centrats (si cal)\n Plot.text(rowsNormBoth.filter(d => d.share >= LABEL_MIN), {\n y: \"row\", x: \"mid\", text: d => fmtPct_stackedbars(d.share), dy: -2, fontSize: 11,\n fontWeight: 500\n }),\n\n // --- títols de dalt (com al NYT), alineats amb la barra de Population ---\n Plot.text(topLabels, {\n y: \"row\",\n x: \"x\",\n text: \"text\",\n textAnchor: d => d.align,\n lineAnchor: \"bottom\",\n dy: -36,\n fontSize: 13,\n fontWeight: 600\n })\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":738,"value":"Plot.legend({\n color: { type: \"ordinal\",\n domain: [\"Rich countries\",\"All others\",\"International transport\"],\n range: [colorsAnnex2.true, colorsAnnex2.false, INTL] },\n label: null\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1038,"value":"
Una mirada històrica\n
La imatge global de la responsabilitat històrica és contundent. Només 23 nacions desenvolupades —incloent-hi els Estats Units, el Canadà, gran part de l’Europa Occidental i el Japó— són responsables de la meitat de totes les emissions de diòxid de carboni provinents de combustibles fòssils i de la producció de ciment des de l’any 1850. Mentrestant, més de 150 països són responsables de l’altra meitat.\n\nAquestes nacions més riques representen avui només el 17 % de la població mundial, però les seves emissions acumulades són les que impulsen la major part de l’escalfament global. Aquesta desigualtat és la base de la demanda persistent que facin més —no només per reduir les seves emissions, sinó també per finançar la resposta global.
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2020,"value":"
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":759,"value":"
La distribució de les emissions entre ${years[0]} i ${years[1]}
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","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":89,"value":"viewof years = rangeInput({\n min: d3.min(owidBase, d => d.year),\n max: d3.max(owidBase, d => d.year),\n step: 1,\n value: d3.extent(owidBase, d => d.year)\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":148,"value":"
\n
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\n Només 23 països rics i desenvolupats són responsables ${describePercentage(100 - sumEmissions)[0]} de totes les emissions històriques de CO₂...\n
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\n ... mentre que 150 països són responsables ${describePercentage(100 - sumEmissions)[1]}.\n
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`\n","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":290,"value":"$2e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2198,"value":"
170 anys d’emissions de CO₂\n
Des de 1850, els Estats Units i les nacions europees van prendre la davantera, emetent de manera constant durant més d’un segle. La Unió Soviètica i el Japó s’hi van afegir a mitjan segle XX. Però no ha estat fins a les dues últimes dècades que les emissions de la Xina han esclatat, representant actualment el 31 % de les emissions globals anuals. Tot i així, la seva quota acumulada continua sent molt inferior.\n\nMentrestant, les crides dels països en desenvolupament per obtenir compensacions per “pèrdues i danys” es fan cada vegada més fortes, amb líders com el ministre d’Afers Estrangers de Bangla Desh comparant la càrrega climàtica amb les demandes contra la indústria del tabac —argumentant que algú ha de ser considerat responsable econòmicament per dècades de comportaments perjudicials..
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1985,"value":"
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","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":805,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":808,"value":"\n\n
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Estats Units / Developed countries
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Xina / Other countries
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","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2205,"value":"
Les emissions al llarg del temps expliquen una història amb capes. S’han expandit des dels seus centres històrics a Europa i Amèrica del Nord fins a incloure grans parts d’Àsia, l’Orient Mitjà i Amèrica Llatina. El que va començar com un procés d’industrialització impulsat per Occident s’ha convertit en un fenomen realment global —però no de manera equitativa. Molts països que avui creixen ràpidament i contribueixen més a les emissions anuals continuen tenint un pes històric baix. Aquest desplaçament geogràfic alimenta els arguments de països com l’Índia i Indonèsia, que defensen que se’ls hauria de permetre desenvolupar-se mentre les nacions més riques assumeixen la càrrega financera de la contaminació del passat.
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2045,"value":"
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Una part del trencaclosques que no encaixa bé en els mapes oficials:
\nEl transport internacional
—aviació i marítim—, un actor invisible, però cada vegada més gran que no es comptabilitza dins cap país. El transport segueix creixent i té un volum d’emissions superior al de moltes economies industrialitzades, formaria part dels més contaminants del món.
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\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2501,"value":"
\n L'any ${yearTransport}, el transport internacional\n va emetre un volum d'emissions similar al de ${countrySimilar?.country ?? \"—\"}.\n
\n","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1298,"value":"viewof yearTransport = Inputs.range(\n [d3.min(internationalTransportFiltered, d => d.year), d3.max(internationalTransportFiltered, d => d.year)],\n {\n step: 1,\n value: d3.max(internationalTransportFiltered, d => d.year), // any per defecte\n label: \"Escull un any i veuràs el pais més proper al Transport Internacional en emissions de CO₂\"\n }\n)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1334,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2589,"value":"
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","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1922,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2268,"value":"
\n \n \n Emissions totals CO₂ del Japó\n \n
\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2088,"value":"
En alguns anys, el volum d’emissions del transport internacional ha estat equiparable al de països com el Japó. I fins i tot, en moments puntuals, supera episodis extrems com el de Kuwait el 1991, quan la crema massiva de pous de petroli durant la retirada iraquiana va disparar les emissions de manera excepcional. Aquell any, el consum domèstic era pràcticament nul, però el CO₂ es va alliberar en territori kuwaitià. Per això, en el balanç global de consum, Kuwait apareix l'any 1991 com un gran “exportador” net d’emissions: una decisió que respon a un criteri de justícia ètica.
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Aquest cas extrem posa en relleu una qüestió més profunda: igual que el transport internacional, també hi ha emissions que ningú no vol assumir.
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El CO₂ del comerç global.
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Molts països produeixen per a altres. El que s’emet a la Xina per fabricar un telèfon es consumeix a París, Nova York o Berlín. Les emissions, en aquest cas, es compten al país productor, però responen a la demanda del consumidor. Aquesta desconnexió entre on es genera el CO₂ i on es consumeix el producte distorsiona la responsabilitat real. I alhora alimenta el conflicte: qui ha de pagar per aquestes emissions?
\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1759,"value":"viewof Selecciona = Inputs.radio([\"Total CO₂ Emissions (GtCO₂)\", \"Diferència entre Producció i Consum (MtCO₂)\"], {\n label: html`Selecciona una opció`,\n value: \"Diferència entre Producció i Consum (MtCO₂)\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1740,"value":"viewof anySeleccionat = PlayableRange(\n [d3.min(dadesPerMapa, d => d.year), d3.max(dadesPerMapa, d => d.year)], // <-- array [min, max]\n {step: 1, value: 2022, label: \"Any\"}\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1891,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2116,"value":"
La fotografia actual és tan desigual com complexa. La Xina lidera en emissions totals anuals, seguida pels Estats Units i l’Índia. Però si mirem les emissions per persona, el mapa canvia radicalment. Països petits, molts d’ells productors de petroli, encapçalen el rànquing amb xifres per càpita desorbitades. Qatar, Bahrain, els Emirats Àrabs, però també Austràlia i els Estats Units. Altres països, com l’Índia, continuen tenint emissions per càpita molt baixes, tot i el seu pes demogràfic.
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":915,"value":"viewof ordenarPer = Inputs.radio([\"Total CO2 Emissions (GtCO2)\", \"Per capita (tCO2)\"], {\n label: html`Ranking TOP 15 ordenat per`,\n value: \"Total CO2 Emissions (GtCO2)\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1188,"value":"viewof year = Inputs.range([\n d3.min(internationalTransportFiltered, d => d.year),\n d3.max(internationalTransportFiltered, d => d.year)\n], {\n label: \"Any\",\n value: d3.max(internationalTransportFiltered, d => d.year),\n step: 1\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":952,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2118,"value":"
La realitat és que no tothom ha arribat a aquest punt pel mateix camí, ni amb els mateixos mitjans. Les trajectòries són múltiples. Alguns països han aconseguit reduir les seves emissions. Altres han començat a créixer econòmicament tot just ara. Molts encara no han assolit el pic. La crisi climàtica és global, però les responsabilitats i les capacitats són profundament desiguals.
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2125,"value":"
El món es troba davant d’un dilema moral: si volem una transició justa, no podem demanar el mateix esforç a qui va crear el problema que a qui el pateix sense haver-ne gaudit els beneficis. Les emissions no són només xifres. Són una mesura de la nostra història. I del deute que deixem o reparem.
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2617,"value":"
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2370,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2438,"value":"
\n Quina és la tendencia de les emissions de CO₂ des de 1990 fins 2023 \n
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\n \n Menys\n
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\n \n Estancat\n
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\n \n Més que l'any 1990\n
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A mesura que continuen les negociacions climàtiques, la qüestió de la justícia financera segueix sense resoldre’s. Els països rics no han complert ni tan sols l’objectiu de finançament climàtic de 100.000 milions de dòlars anuals que van fixar fa més d’una dècada, i han resistit la creació de mecanismes formals per compensar les nacions pobres que pateixen més greument l’augment del nivell del mar, les onades de calor i les sequeres. Bhutan gairebé no emet CO₂ i, tot i això, pateix inundacions glacials; els petits estats insulars s’enfronten a la desaparició. Les emissions històriques no són només xifres: són una mesura del deute moral. Si les negociacions han de prosperar, el món haurà de reconciliar els fets del passat amb la urgència del present.
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2547,"value":"
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","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2478,"value":"---\n#### Per al Tilemap","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2279,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2282,"value":"transformGrid = (gridString) => {\n return gridString\n .trim()\n .split(\"\\n\")\n .map((row, y) =>\n row.split(\",\").map((feature, x) => (feature ? { feature, x, y } : null))\n )\n .flat()\n .filter(Boolean);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2288,"value":"worldGrid = transformGrid(worldGridString)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2292,"value":"function plotCountryCO2(data, country, size) {\n const countryData = data.filter(d => d.iso_code === country);\n\n return Plot.plot({\n width: size,\n height: size,\n margin: 4,\n y: { axis: null }, // sense eix\n x: { axis: null }, // sense eix\n marks: [\n Plot.line(countryData, {\n x: \"year\",\n y: \"co2\",\n stroke: \"#6d7991\",\n strokeWidth: 2\n })\n ]\n });\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2462,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2330,"value":"plotCountryCO2Trend(owidBase, \"ITA\", 120)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2373,"value":"tilePlots = worldGrid.map(d =>\n plotCountryCO2Trend(\n owidBase,\n d.feature, // ISO3 del país\n 120, // mida del tile\n 0.10, // stablePercent (ajusta segons vulguis)\n 5, // nYears per calcular mitjanes\n 1990 // any mínim de dades\n )\n)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2405,"value":"yVals = countryData\n .map(d => [d.co2, d.consumption_co2])\n .flat()\n .filter(v => typeof v === \"number\" && !isNaN(v));\n\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2399,"value":"yMin = d3.min(yVals)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2401,"value":"yMax = d3.max(yVals);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1872,"value":"diffs = dadesPerMapa\n .filter(d => typeof d.DiffConsProd === \"number\" && d.year === anySeleccionat)\n .map(d => Math.abs(d.DiffConsProd))\n .sort((a, b) => a - b);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1899,"value":"absMaxMapa = d3.quantile(diffs, 0.99)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1672,"value":"---\n#### Per al Mapa de Consumption CO2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1671,"value":"stkCountry = FileAttachment(\"stk-country.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1675,"value":"import {\n land50m as landMap,\n countries50m as countriesMap\n} from \"@visionscarto/geo\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1735,"value":"import {PlayableRange} from \"@recifs/playable-range\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1757,"value":"regionEntries = Object.entries(colorsRegions).filter(([k]) => k !== \"\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1377,"value":"---\n#### Per al treemap de Transport","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":999,"value":"
\n ${Plot.legend({\n color: {type: \"ordinal\", domain: [\"International transport\"], range: [COLOR_TRANSPORT]},\n label: null, // sense títol\n swatchSize: 18\n })}\n
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1444,"value":"notCountries = [\n \"International aviation\",\n \"International shipping\",\n \"International transport\",\n \"World\"\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1399,"value":"owidBaseNormalized = owidBase\n .filter(d => !notCountries.includes(d.country))\n .map(d => ({\n ...d,\n hasAnnex2: (\n d.hasAnnex2 === true ||\n d.hasAnnex2 === \"true\" ||\n d.hasAnnex2 === 1 ||\n d.hasAnnex2 === \"1\" ||\n (typeof d.hasAnnex2 === \"string\" && d.hasAnnex2.toLowerCase().includes(\"annex ii\"))\n )\n }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1473,"value":"totalGlobalYear = d3.sum(\n owidBaseNormalized.filter(d => d.year === yearTransport && typeof d.co2 === \"number\" && d.co2 > 0),\n d => d.co2\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1442,"value":"annex2ByCountry = Object.fromEntries(\n owidBaseNormalized\n .filter(d => d.hasAnnex2 !== undefined)\n .map(d => [d.country, d.hasAnnex2])\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1235,"value":"countryDataFiltered = owidBaseNormalized.filter(\n d => typeof d.co2 === \"number\" && d.co2 > 0 && d.year >= 1950\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1276,"value":"countryDataYear = countryDataFiltered.filter(d => d.year === yearTransport)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1278,"value":"countrySimilar = d3.least(\n countryDataYear.filter(d => d.co2 > 0),\n d => Math.abs(d.co2 - intlTotalYear)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1433,"value":"countrySimilarNode = countrySimilar\n ? {\n name: countrySimilar.country,\n value: countrySimilar.co2,\n annex2: annex2ByCountry[countrySimilar.country] ?? false // <-- Ara ve de hasAnnex!\n }\n : null\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1321,"value":"// (Opcional) suma total de l'any (només si vols % reals)\ntotalRangeTransp = d3.sum(emissionsLeavesTransport, d => d.data.value)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1273,"value":"intlTotalYear = aviationYear + shippingYear","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1271,"value":"shippingYear = internationalShipping.find(d => d.year === yearTransport)?.co2 ?? 0","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1267,"value":"aviationYear = internationalAviation.find(d => d.year === yearTransport)?.co2 ?? 0","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1360,"value":"function parseAnnex2(val) {\n return val === true || val === \"true\" || val === 1 || val === \"1\";\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1282,"value":"emissionsLeavesTransport = {\n const root = d3.hierarchy(emissionsTreemapDataTransport).sum(d => d.value);\n d3\n .treemap()\n .tile(d3.treemapSquarify)\n .size([width, width / 2])\n .padding(2)\n .round(true)(root);\n return root.leaves();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1280,"value":"emissionsTreemapDataTransport = ({\n name: \"root\",\n children: [\n {\n name: \"International transport\",\n children: [\n { name: \"International aviation\", value: aviationYear },\n { name: \"International shipping\", value: shippingYear }\n ]\n },\n countrySimilarNode\n ].filter(Boolean)\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1315,"value":"fmtTransp = v => v?.toLocaleString(\"en-GB\", { maximumFractionDigits: 0 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1317,"value":"fmtPctTransp = v => (v * 100).toFixed(1) + \"%\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1135,"value":"// Emissions per país (format: {country, year, emissions})\ncountryData = countries.flatMap(country =>\n owidBase.filter(d => d.country === country).map(d => ({\n country,\n year: d.year,\n co2: d.co2 ?? d.emissions\n }))\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1402,"value":"
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1173,"value":"topCountries = Array.from(\n d3.rollup(\n countryData.filter(d => d.co2 > 0),\n v => d3.sum(v, d => d.co2),\n d => d.country\n ),\n ([country, sum]) => ({country, sum})\n)\n .sort((a, b) => d3.descending(a.sum, b.sum))\n .slice(0, 10)\n .map(d => d.country)\n\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1650,"value":"---\n#### Per a l'area stacked del Transport","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1570,"value":"labelsStackedTransport = [\n {\n x: 2009,\n y: 700, \n text: \"Transport marítim\",\n fontSize: 12, // més gran, per veure si surt\n fontWeight: \"bold\",\n dx: 6,\n dy: 0,\n textAnchor: \"start\"\n },\n {\n x: 2010,\n y: 230,\n text: \"Transport aeri\",\n fontSize: 12,\n fontWeight: \"bold\",\n dx: 6,\n dy: 0,\n textAnchor: \"start\"\n }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1516,"value":"onlyCountries = owidBase.filter(d => !notCountries.includes(d.country))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1129,"value":"// Suma co2 per any d’aviació + vaixells = transport internacional\ninternationalTransport = internationalAviation.map(d => {\n const shipping = internationalShipping.find(s => s.year === d.year)\n const aviationValue = typeof d.co2 === \"number\" ? d.co2 : 0\n const shippingValue = (shipping && typeof shipping.co2 === \"number\") ? shipping.co2 : 0\n return {\n year: d.year,\n co2: aviationValue + shippingValue\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1536,"value":"internationalShippingFiltered = internationalShipping.filter(d => d.year >= 1950 && d.year <= 2023)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1534,"value":"internationalAviationFiltered = internationalAviation.filter(d => d.year >= 1950 && d.year <= 2023)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1538,"value":"stackedInternational = [\n ...internationalAviationFiltered.map(d => ({\n year: d.year,\n type: \"Aviation\",\n co2: typeof d.co2 === \"number\" ? d.co2 : 0\n })),\n ...internationalShippingFiltered.map(d => ({\n year: d.year,\n type: \"Shipping\",\n co2: typeof d.co2 === \"number\" ? d.co2 : 0\n }))\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1158,"value":"internationalTransportFiltered = internationalTransport.filter(d => d.year >= 1950 && d.year <= 2023);\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1160,"value":"countrySimilarLine = similarCountry\n ? countryData.filter(d => d.country === similarCountry.country && d.co2 && d.co2 > 0)\n : []\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1524,"value":"japanLineFiltered = countrySimilarLine.filter(d => d.year >= 1950 && d.year <= 2023)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1122,"value":"// Filtra internacional i països, crea sumatori “International transport”\ninternationalAviation = owidBase.filter(d => d.country === \"International aviation\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1124,"value":"internationalShipping = owidBase.filter(d => d.country === \"International shipping\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1127,"value":"countries = Array.from(new Set(owidBase.map(d => d.country)))\n .filter(d => d !== \"International aviation\" && d !== \"International shipping\")\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1142,"value":"// Calcula país més proper per emissions per l’any seleccionat\nsimilarCountry = {\n const intl = internationalTransport.find(d => d.year === year)?.co2\n if (intl == null) return null\n const sameYearData = countryData.filter(d => d.year === year && d.co2 != null)\n const country = d3.least(sameYearData, d => Math.abs(d.co2 - intl))\n return country\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":899,"value":"---\n#### Per al ranking Top 15 interactiu emissions totals i per càpita","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1004,"value":"facetTitles = [\n { type: MODE_TOT, title: \"Total CO₂ Emissions (GtCO₂)\" },\n { type: MODE_PC, title: \"Per capita (tCO₂)\" }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":928,"value":"MODE_TOT = \"Total CO2 Emissions (GtCO2)\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":930,"value":"MODE_PC = \"Per capita (tCO2)\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":949,"value":"barData = {\n const excloure = new Set([\"International aviation\", \"International shipping\"]);\n\n const rows = owidBaseNoWorld\n .filter(d => d.year === year && !excloure.has(d.country));\n\n const toBool = d => d.hasAnnex2 ?? d.annex2 ?? null; // null si no definit\n\n const totals = rows\n .filter(d => isFinite(d.co2))\n .map(d => ({\n country: d.country,\n type: MODE_TOT,\n value: +d.co2 / 1000, // Mt → Gt\n hasAnnex2: toBool(d)\n }));\n\n const percap = rows\n .filter(d => isFinite(d.co2_per_capita))\n .map(d => ({\n country: d.country,\n type: MODE_PC,\n value: +d.co2_per_capita,\n hasAnnex2: toBool(d)\n }));\n\n const base = (ordenarPer === MODE_TOT) ? totals : percap;\n\n const topCountries = new Set(\n d3.sort(base, (a, b) => d3.descending(a.value, b.value))\n .slice(0, 15)\n .map(d => d.country)\n );\n\n return [...totals, ...percap].filter(d => topCountries.has(d.country));\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":161,"value":"---\n#### Per l'Area chart","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":817,"value":"// 1850–2023 i exclusió d’agregats/transport internacional\nNO_COUNTRY = new Set([\"World\", \"International aviation\", \"International shipping\"]);\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":815,"value":"base = owidBase\n .map(d => ({ ...d, country: d.country?.trim() }))\n .filter(d => !NO_COUNTRY.has(d.country))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":827,"value":"paisosUE = new Set([\n \"Austria\",\"Belgium\",\"Bulgaria\",\"Croatia\",\"Cyprus\",\"Czechia\",\"Denmark\",\"Estonia\",\n \"Finland\",\"France\",\"Germany\",\"Greece\",\"Hungary\",\"Ireland\",\"Italy\",\"Latvia\",\n \"Lithuania\",\"Luxembourg\",\"Malta\",\"Netherlands\",\"Poland\",\"Portugal\",\"Romania\",\n \"Slovakia\",\"Slovenia\",\"Spain\",\"Sweden\"\n])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":831,"value":"destacats = new Set([\"United States\",\"European Union (27)\",\"United Kingdom\",\"Russia\",\"China\",\"India\"]\n .map(s => s.toLowerCase()))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":834,"value":"comprovacioGrups = {\n const out = {\"Other developed\": new Set(), \"Rest of world\": new Set()};\n for (const d of base) {\n const nom = d.country?.trim();\n const norm = nom?.toLowerCase();\n if (!nom || destacats.has(norm)) continue;\n if (d.annex2 === true) out[\"Other developed\"].add(nom);\n else out[\"Rest of world\"].add(nom);\n }\n return {\n \"Other developed\": [...out[\"Other developed\"]].sort(),\n \"Rest of world\": [...out[\"Rest of world\"]].sort()\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":868,"value":"// Funció de grup\ngroupOf = d => {\n if (d.country === \"United States\" || d.country === \"USA\") return \"United States\";\n if (d.country === \"Russia\") return \"Russia\";\n if (d.country === \"China\") return \"China\";\n if (d.country === \"India\") return \"India\";\n if (d.country === \"United Kingdom\" || paisosUE.has(d.country))\n return \"European Union and United Kingdom\";\n return d.annex2 === true ? \"Other developed\" : \"Rest of world\";\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":837,"value":"// IMPORTANT: OWID `co2` sol ser en Mt → passem a Gt dividint per 1000\nemissionsApilades = d3.rollups(\n base, // ja filtrada NO_COUNTRY\n v => d3.sum(v, r => +r.co2 || 0) / 1000, // Mt → Gt\n d => +d.year,\n d => groupOf(d)\n).flatMap(([year, m]) =>\n Array.from(m, ([group, emissions]) => ({ year:+year, group, emissions:+emissions }))\n).filter(d => Number.isFinite(d.emissions))\n .sort((a,b) =>\n d3.ascending(ordreApilat.indexOf(a.group), ordreApilat.indexOf(b.group)) ||\n d3.ascending(a.year, b.year)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":840,"value":"ordreApilat = [\n \"United States\",\n \"European Union and United Kingdom\",\n \"Other developed\",\n \"Russia\",\n \"China\",\n \"India\",\n \"Rest of world\"\n];","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":842,"value":"contornsApilats = {\n const anys = d3.sort(d3.group(emissionsApilades, d => d.year).keys());\n const acum = new Map(anys.map(y => [y, 0]));\n const out = [];\n for (const group of ordreApilat) {\n for (const year of anys) {\n const r = emissionsApilades.find(d => d.group === group && d.year === year);\n const y0 = acum.get(year);\n const y1 = y0 + (r?.emissions ?? 0);\n acum.set(year, y1);\n out.push({ year, group, emissions: y1 });\n }\n }\n return out;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":846,"value":"labelsStacked = [\n { text: \"United States\", x: 2000, y: 3, fontSize: 14 },\n { text: \"European Union and United Kingdom\", x: 1994, y: 7.5, fontSize: 10 },\n { text: \"Other developed\", x: 2003, y: 10.8, fontSize: 10 },\n { text: \"Russia\", x: 1990, y: 12.3, fontSize: 10 },\n { text: \"China\", x: 2010, y: 17, fontSize: 14 },\n { text: \"India\", x: 2015, y: 23.8, fontSize: 10 },\n { text: \"Rest of world\", x: 2012, y: 26.8, fontSize: 10 }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":889,"value":"---\n#### Pel Treemap","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":722,"value":"annexBoolFromGroup = (g) =>\n g === \"Annex II\" ? true :\n g === \"Non‑Annex II\" ? false :\n null","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":699,"value":"groupLabel = (d) => {\n const n = d.ancestors()[2]?.data?.name ?? \"\";\n if (n.startsWith(\"Annex II\")) return \"Annex II\";\n if (n.startsWith(\"Non\")) return \"Non‑Annex II\";\n return \"International transport\";\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":718,"value":"INTL = \"#999999\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":223,"value":"yearsAll = Array.from(new Set(owidBase.map(d => +d.year))).sort(d3.ascending)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":214,"value":"yearStory = years","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":108,"value":"function emissionsRangeFromBase(owidBaseNoWorld, years) {\n const [y0, y1] = years;\n return d3.rollups(\n owidBaseNoWorld.filter(d => d.year >= y0 && d.year <= y1 && d.co2 != null),\n v => ({\n // CANVI: etiquetes coherents per a transport\n iso: isTransport(v[0].country) ? null : v[0].iso_code,\n country: v[0].country,\n region: isTransport(v[0].country) ? \"—\" : v[0].region,\n annex2: isTransport(v[0].country) ? null : !!v[0].hasAnnex2,\n transport: isTransport(v[0].country),\n emissions: d3.sum(v, d => d.co2 || 0)\n }),\n // CANVI: clau diferent per a transport (no té ISO)\n d => isTransport(d.country) ? d.country : d.iso_code\n )\n .map(([, o]) => o)\n .filter(d => d.emissions > 0);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":115,"value":"function toTreemapHierarchyFromRange(emissionsRange) {\n const grouped = d3.groups(\n emissionsRange,\n // CANVI: tercer grup \"International transport\"\n d => d.transport ? \"International transport\" : (d.annex2 ? \"Annex II (rich)\" : \"Non-Annex II\"),\n d => d.region\n );\n return {\n name: \"root\",\n children: grouped.map(([annexGroup, regions]) => ({\n name: annexGroup,\n children: regions.map(([region, countries]) => ({\n name: region,\n children: countries.map(d => ({\n name: d.country, iso: d.iso, value: d.emissions\n }))\n }))\n }))\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":111,"value":"emissionsRange = emissionsRangeFromBase(owidBaseNoWorld, years)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":118,"value":"emissionsTreemapData = toTreemapHierarchyFromRange(emissionsRange)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":53,"value":"emissionsLeaves = {\n const root = d3.hierarchy(emissionsTreemapData).sum(d => d.value);\n\n // Columnes al nivell 1 (Annex II / Non‑Annex II / International transport)\n // i squarify per a la resta.\n const tileRootSliceOthersSquarify = (node, x0, y0, x1, y1) =>\n node.depth === 0\n ? d3.treemapSlice(node, x0, y0, x1, y1) // fa columnes per als fills del root\n : d3.treemapSquarify(node, x0, y0, x1, y1);\n\n d3.treemap()\n .tile(tileRootSliceOthersSquarify)\n .size([width, 640]) \n .padding(1.8)\n .round(true)(root);\n\n return root.leaves();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":79,"value":"import { rangeInput } from \"@mootari/range-slider\";","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":91,"value":"emissionsRangeTreemapData = {\n const grouped = d3.groups(\n emissionsRange,\n d => d.transport ? \"International transport\" : (d.annex2 ? \"Annex II\" : \"Non‑Annex II\"),\n d => d.region\n );\n\n // ordre fix de columnes: esquerra→dreta\n const order = new Map([[\"Annex II\", 0], [\"Non‑Annex II\", 1], [\"International transport\", 2]]);\n\n return {\n name: \"root\",\n children: grouped\n .sort((a, b) => d3.ascending(order.get(a[0]), order.get(b[0])))\n .map(([annexGroup, regions]) => ({\n name: annexGroup,\n children: regions.map(([region, countries]) => ({\n name: region,\n children: countries.map((d) => ({\n name: d.country,\n value: d.emissions\n }))\n }))\n }))\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":93,"value":"emissionsRangeLeaves = {\n const root = d3.hierarchy(emissionsRangeTreemapData).sum((d) => d.value);\n\n d3\n .treemap()\n .tile(d3.treemapSquarify)\n .size([width, width / 2])\n .padding(1.8)\n .round(true)(root);\n\n return root.leaves();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"fmt = d3.format(\",.2f\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":135,"value":"fmtPct = d3.format(\".1%\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":132,"value":"totalRange = d3.sum(emissionsRange, d => d.emissions)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":150,"value":"sumEmissions = {\n const sum = emissionsRange.reduce((acc, d) => {\n if (d.transport) return acc; // CANVI: excloure transport\n if (d.annex2) acc.annex2True += d.emissions;\n else acc.annex2False += d.emissions;\n return acc;\n }, { annex2True: 0, annex2False: 0 });\n\n const total = sum.annex2True + sum.annex2False;\n const annex2False = (sum.annex2False / total) * 100;\n return annex2False;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":153,"value":"describePercentage = (pct) => {\n if (pct >= 95) return [\"de gairebé tot\", \"de la resta\"];\n if (pct >= 85) return [\"de la major part\", \"de la resta\"];\n if (pct >= 75) return [\"d'aproximadament tres quartes parts\", \"del quart restant\"];\n if (pct >= 65) return [\"de prop de dos terços\", \"de l'altre terç\"];\n if (pct >= 55) return [\"de més de la meitat\", \"de la resta\"];\n if (pct >= 45) return [\"d'aproximadament la meitat\", \"de l'altra meitat\"];\n if (pct >= 35) return [\"de menys de la meitat\", \"de més de la meitat\"];\n if (pct >= 25) return [\"d'aproximadament una quarta part\", \"de les tres quartes parts restants\"];\n if (pct >= 15) return [\"d'una part petita\", \"de la major part\"];\n if (pct >= 5) return [\"d'una part ínfima\", \"de gairebé tot\"];\n return [\"d'una quantitat negligible\", \"de gairebé tot\"];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2640,"value":"pctAnnex2 = 100 - sumEmissions // percentatge dels 23 països rics","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2642,"value":"description = describePercentage(pctAnnex2)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":204,"value":"---\n#### Pel Stacked percentage bars","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":202,"value":"populationShares = {\n const rows = owidBase.filter(d => +d.year === +year && !isWorld(d) && !isIntl(d));\n const popRich = d3.sum(rows.filter(d => d.hasAnnex2 === true), d => d.population ?? 0);\n const popOther = d3.sum(rows.filter(d => d.hasAnnex2 !== true), d => d.population ?? 0);\n const total = popRich + popOther;\n\n return [\n {metric: \"Population\", group: \"Rich countries\", value: popRich, pct: total ? popRich/total : 0},\n {metric: \"Population\", group: \"All others\", value: popOther, pct: total ? popOther/total : 0}\n ];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":158,"value":"emissionsYear = owidBase.filter(d =>\n +d.year === +year && !isWorld(d) && !isIntl(d) && (d.co2 ?? d.value) != null\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":353,"value":"//(opcional) etiqueta amable per al color/tooltip\nlabel = d => d.hasAnnex2 ? \"Annex II\" : \"Non‑Annex II\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":405,"value":"LABEL_MIN = 0.01; // no posar text si el segment és <1%","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":457,"value":"baseYearsAcc = owidBaseNoWorld\n .filter(d => +d.year >= +years[0] && +d.year <= +years[1] && d.co2 != null)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":460,"value":"yearsTitleAcc = `${years[0]}–${years[1]}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":475,"value":"vTransportAcc = d3.sum(baseYearsAcc.filter(isIntl), d => +d.co2) || 0","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":479,"value":"byGroupAcc = d3.rollups(\n baseYearsNoT,\n v => d3.sum(v, d => +d.co2),\n d => !!d.hasAnnex2\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":481,"value":"rowAcc = byGroupAcc.map(([hasAnnex2, value]) => ({\n row: \"Historical CO₂ emissions\",\n hasAnnex2,\n group: hasAnnex2 ? \"Annex II\" : \"Non‑Annex II\",\n value\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":483,"value":"rowAccWithIntl = vTransportAcc > 0\n ? rowAcc.concat([{ row: \"Historical CO₂ emissions\", group: \"International transport\", hasAnnex2: null, value: vTransportAcc }])\n : rowAcc","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":486,"value":"rowsAccOrdered = rowAccWithIntl.slice().sort((a, b) => {\n const order = new Map([[true, 0], [false, 1], [null, 2]]);\n return order.get(a.hasAnnex2 ?? null) - order.get(b.hasAnnex2 ?? null);\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":492,"value":"rowsNormAcc = {\n const total = d3.sum(rowsAccOrdered, d => d.value) || 0;\n let acc = 0;\n return rowsAccOrdered.map(d => {\n const share = total ? d.value / total : 0;\n const x1 = acc;\n const x2 = acc + share;\n acc = x2;\n return { ...d, share, x1, x2, mid: (x1 + x2) / 2 };\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":382,"value":"fmtPct_stackedbars = d3.format(\".0%\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":433,"value":"fillColor = d =>\n d.group === \"International transport\"\n ? COLOR_TRANSPORT\n : colorsAnnex2[String(!!d.hasAnnex2)]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":544,"value":"// Per a població, no condicionem l'existència de co2\nbaseYearsAccAll = owidBaseNoWorld\n .filter(d => +d.year >= +years[0] && +d.year <= +years[1])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":547,"value":"baseYearsAccAllNoT = baseYearsAccAll.filter(d => !isIntl(d) && d.population != null)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":550,"value":"byGroupAccPop = d3.rollups(\n baseYearsAccAllNoT,\n v => d3.sum(v, d => +d.population),\n d => !!d.hasAnnex2\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":553,"value":"rowPop = byGroupAccPop.map(([hasAnnex2, value]) => ({\n row: \"Population\",\n hasAnnex2,\n group: hasAnnex2 ? \"Annex II\" : \"Non‑Annex II\",\n value\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":556,"value":"rowsBoth = rowPop.concat(rowAccWithIntl)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":559,"value":"// Ordena: Annex II → Non‑Annex II → Transport, però per cada 'row' per separat\nrowsBothOrdered = rowsBoth.slice().sort((a, b) => {\n if (a.row !== b.row) return a.row.localeCompare(b.row); // \"Population\" va abans que \"Historical…\"\n const order = new Map([[true, 0], [false, 1], [null, 2]]);\n return order.get(a.hasAnnex2 ?? null) - order.get(b.hasAnnex2 ?? null);\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":562,"value":"rowsNormBoth = {\n const out = [];\n for (const [row, items] of d3.groups(rowsBothOrdered, d => d.row)) {\n const total = d3.sum(items, d => d.value) || 0;\n let acc = 0;\n for (const d of items) {\n const share = total ? d.value / total : 0;\n const x1 = acc;\n const x2 = acc + share;\n acc = x2;\n out.push({ ...d, share, x1, x2, mid: (x1 + x2) / 2 });\n }\n }\n return out;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":617,"value":"NON_ANNEX = (s) => String(s).replace(/\\u2011|\\u2013|\\u2014/g, \"-\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":611,"value":"hasIntl = rowsNormBoth.some(d =>\n d.row === \"Historical CO₂ emissions\" &&\n d.group === \"International transport\" &&\n d.share > 0\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":622,"value":"new Set(rowsNormBoth.map(d=>d.group))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":630,"value":"popAnnex = rowsNormBoth.find(d => d.row === \"Population\" && d.group === \"Annex II\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":632,"value":"popOthers = rowsNormBoth.find(d => d.row === \"Population\" && d.group !== \"Annex II\" && d.group !== \"International transport\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":636,"value":"// labels superiors (centrades damunt de cada segment de Population)\ntopLabels = [\n { row: \"Population\", x: (popAnnex.x1 + popAnnex.x2) / 2, text: \"Rich countries\", align: \"end\" },\n { row: \"Population\", x: (popOthers.x1 + popOthers.x2) / 2, text: \"All others\", align: \"start\" }\n];","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":227,"value":"md`**year:** ${year} · files emissionsYear: ${emissionsYear.length}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":342,"value":"// Filtre per l'any seleccionat\nbaseYear = owidBaseNoWorld.filter(d => +d.year === +year && d.co2 != null)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":408,"value":"// Suma transport internacional (si hi és al dataset)\nvTransportY = d3.sum(baseYear.filter(isIntl), d => +d.co2) || 0","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":420,"value":"// Agregació per Annex II / No‑Annex II\nbyGroupY = d3.rollups(\n baseYearNoT,\n v => d3.sum(v, d => +d.co2),\n d => !!d.hasAnnex2\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":429,"value":"//Normalització i posicions (en un sol bloc amb variables locals)\nrowsNormYear = {\n const total = d3.sum(rowYearWithIntl, d => d.value) || 0;\n let acc = 0;\n return rowYearWithIntl.map(d => {\n const share = total ? d.value / total : 0;\n const x1 = acc;\n const x2 = acc + share;\n acc = x2;\n return { ...d, share, x1, x2, mid: (x1 + x2) / 2 };\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":411,"value":"// Resta de països (excloent transport)\nbaseYearNoT = baseYear.filter(d => !isIntl(d))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":477,"value":"baseYearsNoT = baseYearsAcc.filter(d => !isIntl(d))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":422,"value":"// Construeix fila única “CO₂ emissions” de l’any\nrowYear = byGroupY.map(([hasAnnex2, value]) => ({\n row: \"CO₂ emissions\",\n hasAnnex2,\n group: hasAnnex2 ? \"Annex II\" : \"Non‑Annex II\",\n value\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":426,"value":"// Afegeix el transport (gris) si existeix\nrowYearWithIntl = vTransportY > 0\n ? rowYear.concat([{ row: \"CO₂ emissions\", group: \"International transport\", hasAnnex2: null, value: vTransportY }])\n : rowYear","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":261,"value":"### DataSets","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":266,"value":"owidBase = await FileAttachment(\"owidBasePlus.csv\").csv({typed: \"auto\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"owidBase","database":"$undefined"},{"id":321,"value":"isWorld = d =>\n (d.country && d.country.trim().toLowerCase() === \"world\") ||\n d.iso_code === \"OWID_WRL\" || // per si de cas\n d.code === \"WORLD\"; // per si ve d’un altre dataset","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":284,"value":"co2v = d => d.co2 ?? 0","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":332,"value":"owidBaseNoWorld = owidBase\n .filter(d => d.co2 != null && !isWorld(d))\n .map(d => ({ ...d, year: +d.year, co2: +d.co2 }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":297,"value":"isTransport = c =>\n c === \"International aviation\" ||\n c === \"International shipping\" ||\n c === \"International transport\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":317,"value":"//isOWIDAggregate = d => (d.iso_code || \"\").startsWith(\"World\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":198,"value":"isIntl = d => d.country === \"International transport\" || d.country === \"International aviation\" || d.country === \"International shipping\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1685,"value":"ConsumptionBasedCo2 = await FileAttachment(\"cleanPvsCCo2E.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"ConsumptionBasedCo2","database":"$undefined"},{"id":1691,"value":"countriesAll = (await FileAttachment(\"stk-country.json\").json()).map(d => d.value)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1693,"value":"countriescoords = countriesAll.filter(d => d.alpha3); // filtra només països reals amb codi","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1686,"value":"countryInfo = new Map(countriescoords.map(d => [d.alpha3, d]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1717,"value":"owidMap = new Map(owidBase.map(d =>\n // Combina iso_code + any per evitar confusions (multi-any)\n [`${d.iso_code}_${d.year}`, d]\n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1777,"value":"dataPvsE = ConsumptionBasedCo2\n .filter(d =>\n d[\"Code\"] &&\n d[\"Annual consumption-based CO₂ emissions\"] !== \"\" &&\n !isNaN(+d[\"Annual consumption-based CO₂ emissions\"]) &&\n countryInfo.has(d.Code)\n )\n .map(d => {\n const info = countryInfo.get(d.Code);\n return {\n code: d.Code,\n country: d.Entity,\n year: +d.Year,\n ConsumptionEmissions: +d[\"Annual consumption-based CO₂ emissions\"] || null,\n ProductionEmissions: +d[\"Annual CO₂ emissions\"] || null,\n lat: info.lat,\n lon: info.lon,\n region: info.region\n };\n });\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1720,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1800,"value":"dadesPerMapa\n .filter(d => d.year === anySeleccionat)\n .map(d => ({\n country: d.country,\n Consumption: d.ConsumptionEmissions,\n Production: d.ProductionEmissions,\n DiffConsProd: d.DiffConsProd\n }))\n .slice(0, 10)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1808,"value":"diffArray = dadesPerMapa.filter(d => typeof d.DiffConsProd === \"number\" && d.year === anySeleccionat)\n .map(d => Math.abs(d.DiffConsProd))\n .sort((a, b) => a - b)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1812,"value":"dadesFiltrades = dadesPerMapa.filter(\n d => typeof d.DiffConsProd === \"number\" && d.lat != null && d.lon != null && d.year === anySeleccionat\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1791,"value":"dadesPerMapaDiff = dadesPerMapa.map(d => ({\n ...d,\n DiffConsProd: (\n typeof d.ConsumptionEmissions === \"number\" && \n typeof d.ProductionEmissions === \"number\"\n )\n ? d.ConsumptionEmissions - d.ProductionEmissions\n : null\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1754,"value":"labelAnnex2 = ({\n true: \"Developed\",\n false: \"All others\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1820,"value":"mapa coropletic:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":239,"value":"### Color","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":242,"value":"colorsRegions = ({\n Africa: \"#a6611a\", \n Americas: \"#dfc27d\", \n Asia: \"#5ab4ac\", \n Europe: \"#01665e\", \n Oceania: \"#003c30\",\n \"\": \"#CCCCCC\" // gris per defecte\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":244,"value":"colorsAnnex2 = ({\n true: \"#d8b365\",\n false: \"#5ab4ac\" \n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":376,"value":"COLOR_TRANSPORT = \"#AAAAAA\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":246,"value":"colorsStackedAnnex = ({\n \"United States\": colorsAnnex2.true,\n \"European Union and United Kingdom\": colorsAnnex2.true + \"AA\",\n \"Other developed\": colorsAnnex2.true + \"AA\",\n \n \"China\": colorsAnnex2.false,\n \"Russia\": colorsAnnex2.false + \"AA\",\n \"India\": colorsAnnex2.false + \"AA\",\n \"Rest of world\": colorsAnnex2.false + \"AA\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":248,"value":"colorEmissions = \"#d8b365\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":250,"value":"colorPerCapita = \"#5ab4ac\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1748,"value":"colorBy = \"annex2\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":156,"value":"---\n#### Styles","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1026,"value":"$38","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W39","stdlib":"1","titling":"auto"}} 2c:"$2b:body"