Emissions: ${d.emissions} kg/hr Source: ${Array.from(d.sources.values()).join(", ")}

31:T58e,map = svg``32:[{"id":"a7e7a8772519e652a911adef8a025e4b2632de184746018c728ec69264857c8ccfa21a06179289d6596dc293b07e066e094440e471817db6a2d1ac9561b7017d","href":"https://static.observableusercontent.com/files/a7e7a8772519e652a911adef8a025e4b2632de184746018c728ec69264857c8ccfa21a06179289d6596dc293b07e066e094440e471817db6a2d1ac9561b7017d","name":"Plume_list_20191031 (1).csv","type":"text/csv","lastModified":1573168723443.401,"size":132697}] 2f:{"title":"California’s Methane ‘Super Emitters’","cells":[{"id":0,"value":"md`# California’s Methane ‘Super Emitters’\n*As measured by flights done by NASA’s Earth Science Division*\n\nIn a [recent report](https://www.jpl.nasa.gov/news/news.php?feature=7535), NASA scientists flew methane detecting instruments above nearly 300,000 potential methane emissions sources in California, over two years. They determined that there are just 30 landfills in the state that account for 40% of the total emissions detected during the survey.\n\n*Source: [methane.jpl.nasa.gov](https://methane.jpl.nasa.gov/)*`","pinned":false,"hidden":false,"mode":"ojs"},{"id":77,"value":"viewof filter = radio({\n description:\n 'NASA found that just ten percent of sources emitted a majority of the leaked methane',\n options: [\n { label: 'All emitters', value: 'all' },\n { label: 'Top 10%, aka the ‘Super Emitters’', value: 'top' }\n ],\n value: 'all'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":14,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":19,"value":"css = html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":99,"value":"filtered = filter === \"all\"\n ? nested\n : nested.filter((d, i) => i < Math.round(nested.length / 10))","pinned":false,"hidden":false,"mode":"ojs"},{"id":129,"value":"nested = d3\n .nest()\n .key(function(d) {\n return `${Math.round(\n d.longitude * 10\n )}, ${Math.round(d.latitude * 10)}, ${d.classification}`;\n })\n .rollup(function(sources) {\n return {\n latitude: d3.mean(sources, d => d.latitude),\n longitude: d3.mean(sources, d => d.longitude),\n emissions: d3.sum(sources, d => d.emissions),\n sources: new Set(sources.map(d => d.source)),\n classification: sources[0].classification\n };\n })\n .entries(data)\n .map(d => d.value)\n .sort((a, b) => b.emissions - a.emissions)","pinned":false,"hidden":false,"mode":"ojs"},{"id":31,"value":"data = raw.map(d => ({\n latitude: +d[\"Plume latitude (deg)\"],\n longitude: +d[\"Plume longitude (deg)\"],\n source: d[\"Source type (best estimate)\"],\n classification: classify(d[\"Source type (best estimate)\"]),\n emissions: +d[\"Qplume (kg/hr): Plume emissions\"]\n}))","pinned":false,"hidden":false,"mode":"ojs"},{"id":28,"value":"raw = d3.csv(await FileAttachment(\"Plume_list_20191031 (1).csv\").url())","pinned":false,"hidden":false,"mode":"ojs"},{"id":249,"value":"function classify(source) {\n if (/^(oil|gas|refinery)/.test(source)) return \"oil/gas\";\n if (/^dairy/.test(source)) return \"dairy\";\n if (/^wastewater/.test(source)) return \"water treatment\";\n if (/^power/.test(source)) return \"power\";\n return \"landfill\";\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":264,"value":"colorMap = ({\n \"water treatment\": colors[0],\n power: colors[3],\n \"oil/gas\": colors[2],\n dairy: colors[1],\n landfill: colors[4]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":258,"value":"colors = [\"#505a6b\", \"#7ba8de\", \"#e5b64f\", \"#499135\", \"#a44f4c\"]","pinned":false,"hidden":false,"mode":"ojs"},{"id":207,"value":"height = width","pinned":false,"hidden":false,"mode":"ojs"},{"id":34,"value":"radius = d3.scaleSqrt(\n [0, d3.quantile(nested.map(d => d.emissions).sort(d3.ascending), 0.985)],\n [0, Math.min(35, Math.round(width / 20))]\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":16,"value":"path = d3.geoPath().projection(projection)","pinned":false,"hidden":false,"mode":"ojs"},{"id":10,"value":"projection = d3\n .geoMercator()\n .center([-118.75, 37.5])\n .scale(1)\n .fitSize([width - 20, height - 20], state)\n .translate([width / 2, width / 2])","pinned":false,"hidden":false,"mode":"ojs"},{"id":78,"value":"cities = [\n {\n name: 'Los Angeles',\n coordinates: [-118.2437, 33.95]\n },\n {\n name: \"Oakland\",\n coordinates: [-122.21, 37.81]\n },\n { name: \"Modesto\", coordinates: [-120.996, 37.639] },\n {\n name: \"Redding\",\n coordinates: [-122.3917, 40.5865]\n },\n {\n name: \"Sacramento\",\n coordinates: [-121.4944, 38.5816]\n },\n { name: \"Bakersfield\", coordinates: [-119.018, 35.373] },\n {\n name: \"San Diego\",\n coordinates: [-117.1611, 32.7157],\n x: \"-9\",\n anchor: \"end\"\n },\n {\n name: \"Fresno\",\n coordinates: [-119.7871, 36.7378]\n }\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":8,"value":"state = {\n const url =\n \"https://gist.githubusercontent.com/palewire/e001c971f2cab1664168658caa7536da/raw/state.json\";\n const r = await d3.json(url);\n return topojson.feature(r, r.objects[\"state\"]).features[0];\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":4,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6,"value":"topojson = require(\"topojson-client@3\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":73,"value":"import { radio } from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W32","stdlib":"1","titling":"auto"}