Published
Edited
May 11, 2021
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md`# Choropleth Map
Median Age in Iowa Counties, Source: [Census 2010]`
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d3 = require("d3@5")
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import {legend} from "@d3/color-legend"
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simple = require("simple-statistics@7.0.7/dist/simple-statistics.min.js")
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format = d => `${d}%`
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topojson = require("topojson-client@3")
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Illinois= FileAttachment("ILwithcount (2) (1).json").json()
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counties = topojson.feature(Illinois, Illinois.objects.ILwithcount)
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csv_data = d3.csvParse(await FileAttachment("farmlanddatap3.csv").text(),({GEOID, acresoffarmlandp4_Value, acresoffarmlandp4_land_acres}) => [+GEOID, [ +acresoffarmlandp4_Value/+acresoffarmlandp4_land_acres*100]])
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data = Object.assign(new Map(csv_data), {title: "% farmland"})
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farm_land.filter(d => d <= 0)
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farm_land = Array.from(csv_data.values(), d => d[1][0])
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bluescheme = [d3.color("#eff3ff"), d3.color("#c6dbef"), d3.color("#9ecae1"), d3.color("#6baed6"),d3.color("#3182bd"),d3.color("#08519c")]
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naturalbreaks = simple.ckmeans(farm_land, bluescheme.length).map(v => v.pop())
//quantile=d3.scaleQuantize()
//.domain(farm_land)
//.range([YlGnBu])
//linear = d3.scaleLinear()
//.domain(farm_land)
//.range(["#efedf5", "#756bb1"])
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nullcolor = d3.scaleOrdinal()
.domain([NaN])
.range(d3.color("black"))
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//more information on sequential scales: https://observablehq.com/@d3/sequential-scales
//color = d3.scaleSequentialQuantile([...data.values()], d3.interpolateBlues)

color = d3.scaleQuantile()
.domain(farm_land)
.range(bluescheme)

//color = d3.scaleThreshold()
// .domain(naturalbreaks)
//.range(bluescheme)
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width = 975
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height = 610
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margin = 100
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//Rotate the map sets the longitude of origin for our UTM Zone 15N projection.
projection = d3.geoTransverseMercator().rotate([90,0]).fitExtent([[80, 80], [width, height]], counties);
//d3 reference for projections: https://github.com/d3/d3-geo/blob/master/README.md

//use the following url for specific projection settings: https://github.com/veltman/d3-stateplane
//Use this code to set up the map projection (if different than geographic projection)

//projection = d3.geoAlbers().fitExtent([[margin, margin], [width - margin, height - margin]], counties)

//projection = d3.geoMercator().fitExtent([[margin, margin], [width - margin, height - margin]], counties)
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//Using a path generator to project geometry onto the map
path = d3.geoPath().projection(projection);
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choropleth = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);

svg.append("g")
.attr("transform", "translate(360,20)")
.append(() =>
legend({
color: color,
title: data.title,
width: 260,
tickFormat: ".1f"
})
);
svg.append("g")
.attr("transform", "translate(260,20)")
.append(() =>
legend({
color: nullcolor,
title: "No Data",
width: 50,
tickFormat: ".1f"
})
);
svg.append("g")
.selectAll("path")
.data(counties.features)
.join("path")
.attr("stroke", "grey")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 1)
// .attr("fill", function(d){
// console.log(color(data.get(d.properties.FIPS)[0]))
// return color(data.get(d.properties.FIPS)[0]);
// })
.attr("fill", d => color(data.get(+d.properties.GEOID)[0]))
.attr("d", path)
.append("title")
.text(d => " Percent of Farmland: " + data.get(+d.properties.GEOID));

return svg.node();
}
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