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Plot: Earthquake globe

Observable Plot › Gallery

\n\n# plot w/ data combined & cloropleth\n\n[Projections](https://observablehq.com/plot/features/projections) and live data!","pinned":false,"hidden":false,"mode":"md"},{"id":12,"value":"viewof zoom = Inputs.range([0, 1], {label: \"longitude\", step: .001, value: .2})","pinned":false,"hidden":false,"mode":"ojs"},{"id":3,"value":"Plot.plot({width:1200,height:1200,\n projection: {type: \"orthographic\",rotate: [80, -34], domain:circle},\n r: {transform: (d) => Math.pow(10, d)}, // convert Richter to amplitude\n style: \"overflow: visible;\", // allow dots to escape\n marks: [\n Plot.geo(zips_combined, {fill: d => color(d.properties.PERCENT_FEMALE), fillOpacity: 0.2}),\n Plot.geo(subwayLines, {fill: 'none', stroke: 'black', type:\"md\"}),\n Plot.geo(parkingLot, {fill: d => color2(d.properties.shape_area), stroke: 'none', type:\"md\"}),\n //Plot.geo(zips_combined,{stroke:'black'}),\n Plot.sphere(),\n Plot.dot(dgi.features, {x: (d) => d.geometry.coordinates[0], y: (d) => d.geometry.coordinates[1], r: .3, stroke: \"red\", fill: \"red\", fillOpacity: 0.2}),\n Plot.dot(food.features, {x: (d) => d.geometry.coordinates[0], y: (d) => d.geometry.coordinates[1], r: 1, stroke: \"blue\", fill: \"blue\", fillOpacity: 0})\n ]\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":205,"value":"parkingLot = FileAttachment(\"Parking Lot.geojson\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":201,"value":"parks = FileAttachment(\"Parks Properties_20231031.geojson\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":192,"value":"subwayLines = FileAttachment(\"Subway Lines.geojson\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":186,"value":"color = d3.scaleQuantize([0, 1], d3.schemeReds[9])","pinned":true,"hidden":false,"mode":"ojs"},{"id":209,"value":"color2 = d3.scaleQuantize([0, 1000000], d3.schemeGreys[9])","pinned":true,"hidden":false,"mode":"ojs"},{"id":61,"value":"circle = d3.geoCircle().center([-73.94, 40.81]).radius(zoom)()","pinned":true,"hidden":false,"mode":"ojs"},{"id":8,"value":"world = FileAttachment(\"countries-110m.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":119,"value":"nyc_zips = FileAttachment(\"nyc_zips.geojson\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":125,"value":"zipdems = FileAttachment(\"zipdems.csv\").csv()","pinned":true,"hidden":false,"mode":"ojs"},{"id":226,"value":"dgi = FileAttachment(\"DEP Green Infrastructure.geojson\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":130,"value":"zips_combined = {\n\n var geo = nyc_zips.features\n var data = deminfo\n\n var combinedData = []\n \n for (let i = 0; i < geo.length; i++) {\n var lineName = Number(geo[i].properties.ZIPCODE)//dataset w/ lines, specify properties that has match key\n \n for (let k = 0; k < data.length; k++) {\n var dataName = data[k].JURISDICTION_NAME//none spatial dataset, specify properties that have match\n \n if(lineName == dataName){//console.log('match')\n\n combinedData.push({type:'Feature',properties:data[k],geometry:geo[i].geometry}) \n \n \n }\n \n }\n \n }\n\nreturn {type: 'FeatureCollection',features:combinedData}\n\n \n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":135,"value":"deminfo = d3.csv(demlink,d3.autoType)","pinned":true,"hidden":false,"mode":"ojs"},{"id":133,"value":"demlink = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vTM8Bj-5dQDJgBpb1-TgpwkPCD0I7LwxfKyw3tOGeL1GqZyo96KV5vV4gv9Ky0-icF8v7YZwplSYLj0/pub?output=csv'","pinned":true,"hidden":false,"mode":"ojs"},{"id":251,"value":"food = FileAttachment(\"Food Scrap Drop-Off Locations in NYC_20231031.geojson\").json()","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W2f","stdlib":"1","titling":"auto"}