Visualizing a changing planet for The Washington Post
Public
Edited
Dec 4
1 fork
1 star
legend = () => {
const wrapper = d3.create("div")
.style("width", `${w}px`)
wrapper.append("div")
.style("font-family", franklinLight)
.style("font-size", "16px")
.style("font-weight", "bold")
.style("margin-bottom", "-4px")
.style("text-align", "center")
.text(select.name);
wrapper.append("div")
.style("font-family", franklinLight)
.style("font-size", "16px")
.style("text-align", "center")
.style("margin-bottom", "8px")
.text("Compared to 1993-2016 average");
const tickSize = 0;
const margin = {left: 0, right: 0, top: 0, bottom: tickSize + 18};
const width = 300 - margin.left - margin.right;
const height = 12;
const svg = wrapper.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.style("display", "table")
.style("margin", "0 auto")
.style("overflow", "visible");
svg.call(gradient);
const values = extent;
const scale = d3.scaleLinear(extent, [0, width]);
const g = svg.append("g")
.attr("transform", `translate(${[margin.left, margin.top]})`);
g.append("rect")
.attr("fill", `url(#${gradient.id()})`)
.attr("height", height)
.attr("width", width);
const tick = g.selectAll(".tick")
.data(values)
.join("g")
.attr("class", "tick")
.attr("transform", d => `translate(${[scale(d), height]})`);
tick.append("line")
.attr("stroke", "black")
.attr("y2", tickSize);
tick.append("text")
.attr("dy", tickSize)
.attr("font-family", franklinLight)
.attr("font-size", 14)
.attr("text-anchor", (d, i) => i === 0 ? "start" : "end")
.attr("y", 14)
.text((d, i) => select.legend[i]);
return wrapper.node();
}
map = function*() {
const canvas = d3.create("canvas");
canvas.node().width = w;
canvas.node().height = h;
const context = canvas.node().getContext("2d");
path.context(context);
context.beginPath();
context.fillStyle = color(color.domain()[0])
context.arc(w / 2, h / 2, w / 2, 0, Math.PI * 2);
context.fill();
for (let i = 0, l = contours.features.length; i < l; i++) {
const d = contours.features[i];
context.beginPath();
path(d);
const c = color(d.value);
context.fillStyle = c;
context.fill();
context.strokeStyle = c;
context.stroke();
yield canvas.node();
}
if (variable === "sst") {
context.fillStyle = "white";
countriesGeo.features.forEach(feature => {
context.beginPath();
path(feature);
context.fill();
})
}
context.fillStyle = "none";
context.lineWidth = 1;
context.beginPath();
path(countriesGeoInner);
context.strokeStyle = "#494949";
context.stroke();
context.beginPath();
path(countriesGeoOuter);
context.strokeStyle = "#2a2a2a";
context.stroke();
yield canvas.node();
}
extent = variable === "jet" ? [-6.5, 6.5] : [-3.5, 3.5]
absmax = d3.max(extent, d => Math.abs(d))
interpolateJet = interpolatePalette([
"#2a2a2a", "#494949", "#666666", "#808080", "#aaaaaa", "#d5d5d5", "#e9e9e9",
"#fdfdfd", "#f9c296", "#f1a26a", "#e6823d", "#d86100", "#a64a00", "#763500"
])
interpolator = variable === "jet" ? interpolateJet : d3.interpolateRdBu
color = d3.scaleDiverging(variable === "jet" ? [-absmax, 0, absmax] : [absmax, 0, -absmax], interpolator)
interval = 10
offsets = d3.range(0, 100 + (100 / interval), 100 / interval)
colors = offsets.map(d3.scaleLinear(d3.extent(offsets), extent)).map(color)
gradient = gradientLinear()
.id("legend-gradient")
.offsets(offsets)
.colors(colors)
projection = d3.geoOrthographic()
.rotate([120, -30, 0])
.fitSize([w, h], {type: "Sphere"})
path = d3.geoPath(projection)
countriesTopo = FileAttachment("countries@1.topo.json").json()
countriesGeoInner = topojson.mesh(countriesTopo, countriesTopo.objects.country, (a, b) => a !== b)
countriesGeoOuter = topojson.mesh(countriesTopo, countriesTopo.objects.country, (a, b) => a === b)
countriesGeo = topojson.feature(countriesTopo, countriesTopo.objects.country)
options = [{name: "Jet stream", property: "jet", legend: ["Weaker than normal", "Stronger"]}, {name: "Sea surface temperature", property: "sst", legend: ["Colder than normal", "Warmer"]}]
variable = select.property
raw = FileAttachment("sfara-jet-sst.csv").csv({ typed: true })
data = JSON.parse(JSON.stringify(raw)).filter(f => f[variable] !== -9999)
contour = d3.geoContour().thresholds(40);
points = JSON.parse(JSON.stringify(data)).map(d => [d.longitude, d.latitude, d[variable]])
contours = ({
type: "FeatureCollection",
features: contour(points)
})
w = 640
h = w
import { franklinLight } from "@climatelab/fonts@46"
import { gradientLinear } from "@climatelab/gradient@60"
import { interpolatePalette } from "@climatelab/roll-your-own-color-palette-interpolator@346";
import { toc } from "@climatelab/toc@45"
d3 = require("d3@7", "d3-geo-voronoi@2")
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