The avatar for @enjalot
Ian Johnson
pixel flipper, data sifter. trying to see what I can while I'm here
Published
Air Quality
Edited
Aug 26, 2020
3 forks
Importers
2 stars
1
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us = d3.json("https://unpkg.com/us-atlas@3/counties-10m.json")
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stateShapes = topojson.feature(us, us.objects.states)//.features
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statesByName = new Map(stateShapes.features.map(d => [d.properties.name, d]))
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V1_08_2020
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california = statesByName.get("California")
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// filtering using turf as learned from this notebook https://observablehq.com/@aboutaaron/racial-demographic-dot-density-map
V1_08_2020_CA = V1_08_2020.filter(d => {
let p = turf.point([d.longitude, d.latitude])
return turf.booleanPointInPolygon(p, california)
})
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daily_V1_08_2020_CA = d3.group(V1_08_2020_CA, d => dateformat(new Date(+d.acq_date + 100000000)))
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viewof day_2020 = Scrubber(daily_V1_08_2020_CA.keys(), {delay: 300, loop: false})
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daily_V1_08_2020_CA.get(day_2020)
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d3.extent(V1_08_2020_CA, d => d.frp)
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d3.extent(V1_08_2020_CA, d => d.bright_ti4)
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d3.extent(V1_08_2020_CA, d => d.bright_ti5)
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frpdata = V1_08_2020_CA.map(d => d.frp)
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import {chart as frp2020} with { frpdata as data, histoheight as height} from "@d3/histogram"
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frp2020
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frpColor = d3.scaleSequential(d3.interpolateReds)
.domain(d3.extent(frpdata))
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frpColor(2)
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ti4Color = d3.scaleSequential(d3.interpolateMagma)
.domain(d3.extent(ti4data))
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viewof day2_2020 = Scrubber(daily_V1_08_2020_CA.keys(), {delay: 300, loop: false})
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countyShapes = topojson.feature(us, us.objects.counties)//.features
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// Choose a couple counties that define the extent I care about
countyExtent = ({type: "FeatureCollection", features: countyShapes.features.filter(d => (d.properties.name == "Tehama" || d.properties.name == "San Benito") && d.id.slice(0,2) == "06") })
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height = 500
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numformat = d3.format(",d")
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dateformat = d3.timeFormat("%Y-%m-%d")
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