Data Visualization Developer at The Associated Press
Public
Edited
Mar 1, 2023
1 star
{ const svg = d3.create("svg")
.attr("viewBox", [0, 0, 975, 800])
const projection = d3.geoAlbers().scale(2800).translate([1000, 500])
const path = d3.geoPath(projection)
svg.append("g")
.attr("stroke", "lightgrey")
.attr('stroke-width', .2)
.selectAll("path")
.data(voronoi.features.filter(d => d.properties.site.properties.state_abbr === 'UT' ))
.join("path")
.attr("d", path)
.attr('fill', d => color(d.properties.site.properties.risk_area) )
.attr('fill-opacity', .3)
svg.append('g')
.selectAll('city')
.data(cities.filter(d => d.properties.state_abbr === 'UT'))
.join('path')
.attr('transform',d => `translate(${projection(d.geometry.coordinates)[0]},${projection(d.geometry.coordinates)[1]})`)
.attr('d', d => spike(heightScale(d.properties.population) ) )
.attr('fill', d => color(d.properties.risk_area) )
.attr('fill-opacity', .5)
.attr('stroke', d => color(d.properties.risk_area))
.attr('stroke-linejoin', 'round')
.attr('stroke-width', 1)
return svg.node()
}
color = d3.scaleQuantile().domain(cities.map(d => d.properties.risk_area))
.range(['#FFF4EB', '#FDD0A2', '#FD8C3B', '#D84702', '#7F2604'])
color.breaks
spike = (length) => `M${-7 / 2},0L0,${-length}L${7 / 2},0`
heightScale = d3.scaleSqrt().domain([0, d3.max(cities, d => d.properties.population)]).range([1, 250])
data = await FileAttachment("cities@1.json").json()
cities = topojson.feature(data, data.objects.cities).features
cities.filter(d => d.properties.state === 'UT')
voronoi = d3.geoVoronoi(cities).polygons()
projection = d3.geoAlbers().fitSize([width, 600], outline)
//scale(2000).translate([800, 500])
path = d3.geoPath(projection)
d3 = require("d3@7", "d3-geo-voronoi@1")
state_outline = await FileAttachment("states_outline@1.json").json()
outline = topojson.feature(state_outline, state_outline.objects.states_outline)
cities.sort((a, b) => b.properties.risk_area - a.properties.risk_area).map(d => ({name: d.properties.name,
state: d.properties.state_abbr, population: d.properties.population, risk_per_sqm: +d.properties.risk_area?.toFixed(5)}) ).slice(0, 50)
populated = cities.sort((a, b) => b.properties.population - a.properties.population).slice(0, 10)
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