28:null 29:["$","title",null,{"children":"[WIP graphic inspo related to CO2 Emission Hotspots from Transportation in the U.S.] | Kat Gowland | Observable"}] 2e:T1722,

2f:T405,## 10 states are responsible for 50% of emissions nationally According to the World Resources Institute (WRI), "In 2018, the top 10 emitting states were responsible for nearly half of the country’s total GHG emissions, nearly equal to the combined emissions of Japan, Canada and Germany, or all of India’s emissions. The top emitters included Texas, California, Florida, Illinois, Pennsylvania, Ohio, Louisiana, Indiana, New York and Michigan." Many of these states' emissions are largely influenced by freight and good movement though, so when studying the impact of commuter travel, and personal car use, on emissions in the transportation sector, it's more effective to first zoom in a bit more and analyze emissions at the city level. ### // Unfulfilled goals for a graphic here: ([https://www.wri.org/insights/8-charts-understand-us-state-greenhouse-gas-emissions]) -- recreate similar interactive chart to theirs (WIP in graphics notebook) or maybe accessing the raw data behind that graphic would be the most helpful30:[{"id":"6b1776f5a0a0e76e6428805c0074a8f262e3f34b1b50944da27903e014b409958dc29b03a1c9cc331949d6a2a404c19dfd0d9d36d9c32274e6ffbc07c11350ee","href":"https://static.observableusercontent.com/files/6b1776f5a0a0e76e6428805c0074a8f262e3f34b1b50944da27903e014b409958dc29b03a1c9cc331949d6a2a404c19dfd0d9d36d9c32274e6ffbc07c11350ee","name":"counties-albers-10m.json","type":"application/octet-stream","lastModified":1669776003676.368,"size":795407}] 2c:{"id":"429fb79311304e8a","slug":null,"title":"[WIP graphic inspo related to CO2 Emission Hotspots from Transportation in the U.S.]","thumbnail":"0f57b6a4059d3e5bb110b4975ba6a2235634451143485c292dcf2e1c9db7503a","access_level":"public","create_time":"$D2022-11-30T02:40:03.676Z","update_time":"$D2022-12-13T17:43:14.762Z","view_time":null,"first_public_time":"$D2022-11-30T02:40:03.676Z","has_unpublished_edits":null,"fork":{"id":"e6b14a27aef67561","slug":"d3-u-s-map","title":"D3 U.S. map","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"stars":0,"starred":false,"owner":{"type":"team","id":"5002046e6f9b6446","login":"kat","name":"Kat Gowland","avatar_url":"https://avatars-next.observableusercontent.com/e8bd73583b6f9bc992d2b0555f8b5b9837123caf15b7de576e5d37eecffd043b","tier":"starter_2024"},"version":165,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"018ca51633c9c6f2","login":"kat","name":"Kat Gowland","avatar_url":"https://avatars-next.observableusercontent.com/e8bd73583b6f9bc992d2b0555f8b5b9837123caf15b7de576e5d37eecffd043b","tier":null}],"members":[{"type":"individual","id":"018ca51633c9c6f2","login":"kat","name":"Kat Gowland","avatar_url":"https://avatars-next.observableusercontent.com/e8bd73583b6f9bc992d2b0555f8b5b9837123caf15b7de576e5d37eecffd043b","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"063686c8195d09fa","slug":"kats-com-systems-final-mobility-calculator","title":"Kat's Com Systems Final - Mobility Calculator","owner":{"id":"5002046e6f9b6446","login":"kat","name":"Kat Gowland"}},"type":"notebook","body":{"titling":"auto","title":"[WIP graphic inspo related to CO2 Emission Hotspots from Transportation in the U.S.]","cells":[{"id":0,"value":"md`# [WIP graphic inspo related to CO2 Emission Hotspots from Transportation in the U.S.]`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"map = htl.html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":123,"value":"## create the map:\n### (data for the heatmap is not yet connected to the shapes)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":37,"value":"projection = d3.geoAlbersUsa().scale(1300).translate([487.5, 305])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"path = d3.geoPath()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"states = topojson.mesh(us, us.objects.states, (a, b) => a !== b)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":108,"value":"nation = topojson.feature(us, us.objects.nation)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":101,"value":"counties = topojson.mesh(us, us.objects.counties, (a, b) => a !== b && (a.id / 1000 | 0) === (b.id / 1000 | 0))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"us = FileAttachment(\"counties-albers-10m.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"topojson = require(\"topojson-client@3\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"d3 = require(\"d3-geo@2\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":145,"value":"## data:\n**A typical passenger vehicle emits about 4.6 metric tons of carbon dioxide per year.**\nThis assumes the average gasoline vehicle on the road today has a fuel economy of about 22.0 miles per gallon and drives around 11,500 miles per year. Every gallon of gasoline burned creates about 8,887 grams of CO2.\n\nI could multiply that by the number of people who report in the census that they drive to work to create the county/state-based data for the heat map?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":121,"value":"notes:\n- are heat maps of transportation emissions just # of people x av. emissions per person?\n- transportation from light-duty vehicles accounts for 57% of 27% of US emissions","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":140,"value":"$2e","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":142,"value":"link to data source: https://www.epa.gov/greenvehicles/fast-facts-transportation-greenhouse-gas-emissions\nhow can I copy the JS and HTML?\n### better yet, how can I build off of this tool's UI: https://cfpub.epa.gov/ghgdata/inventoryexplorer/#transportation/entiresector/allgas/category/all\n### and/or this one:\n### https://www.wri.org/insights/8-charts-understand-us-state-greenhouse-gas-emissions","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":158,"value":"

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":152,"value":"datasets = require(\"vega-datasets@1\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":150,"value":"unemp = datasets[\"unemployment.tsv\"].url","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":148,"value":"vl\n .markGeoshape({ stroke: \"#aaa\", strokeWidth: 0.25 })\n .data(vl.topojson(usa).feature(\"counties\"))\n .transform(vl.lookup(\"id\").from(vl.data(unemp).key(\"id\").fields(\"rate\")))\n .encode(\n vl\n .color()\n .fieldQ(\"rate\")\n .scale({ domain: [0, 0.3], clamp: true })\n .legend({ format: \"%\" }),\n vl.tooltip().fieldQ(\"rate\").format(\".0%\")\n )\n .project(vl.projection(\"albersUsa\"))\n .width(890)\n .height(500)\n .config({ view: { stroke: null } })\n .render()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":163,"value":"$2f","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"}],"files":"$W30","stdlib":"1"}} 2d:"$2c:body"