legend = () => {
const margin = { top: 20, bottom: 18 };
const width = 300;
const height = 16;
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height + margin.top + margin.bottom)
.attr("font-family", franklinLight)
.style("margin", "0 auto")
.style("display", "table")
.call(gradient);
const g = svg.append("g")
.attr("transform", `translate(0, ${margin.top})`)
g.append("text")
.attr("font-size", 18)
.attr("dy", -8)
.attr("x", width / 2)
.attr("font-weight", "bold")
.attr("text-anchor", "middle")
.html("Arrival of spring leaves");
g.append("rect")
.attr("width", width)
.attr("height", height)
.attr("fill", `url(#${gradient.id()})`);
const tick = g.selectAll(".tick")
.data([-20, 20])
.join("g")
.attr("class", "tick")
.attr("transform", (d, i) => `translate(${i ? width : 0})`);
tick.append("text")
.attr("font-size", 14)
.attr("text-anchor", (d, i) => i ? "end" : "start")
.attr("y", height + 14)
.text((d, i) => `${Math.abs(d)}${i ? " days late" : " days early"}`);
return svg.node();
}
map = () => {
const wrapper = d3.create("div")
.style("width", `${w}px`)
.style("height", `${h}px`)
.style("position", "relative");
wrapper.append("style").html(css);
const canvas = wrapper.append("canvas")
.style("position", "absolute");
canvas.node().width = w;
canvas.node().height = h;
const context = canvas.node().getContext("2d");
path.context(context);
// Clipping will take a long time
if (clip) {
context.save();
context.beginPath();
path(usGeoOuter);
context.clip();
}
S
.forEach((cell, i) => {
if (cell || cell === 0) {
context.fillStyle = scale(cell);
const x = X[i % X.length];
const y = Y[(i / X.length) | 0];
const p = projection([x, y]);
context.fillRect(p[0] | 0, p[1] | 0, 1, 1);
}
});
if (clip) {
context.restore();
}
context.fillStyle = "none";
context.beginPath();
path(usGeoInner);
context.strokeStyle = "#e9e9e9"
context.stroke();
context.beginPath();
path(usGeoOuter);
context.strokeStyle = "#d5d5d5"
context.stroke();
const svg = wrapper.append("svg")
.style("position", "absolute")
.attr("width", w)
.attr("height", h);
const citiesG = svg.selectAll(".city")
.data(cities)
.join("g")
.attr("class", d => `city ${d.pos} ${toSlugCase(d.name)}`)
.attr("transform", d => `translate(${projection([d.lon, d.lat])})`);
citiesG.append("circle")
.attr("r", 3);
citiesG.append("text")
.attr("class", "bg bg-0")
.text(d => d.name);
citiesG.append("text")
.attr("class", "bg bg-1")
.text(d => d.name);
citiesG.append("text")
.attr("class", "fg")
.text(d => d.name);
return wrapper.node();
}
note = () => d3.create("div")
.style("color", "#666")
.style("font-family", franklinLight)
.style("font-size", "14px")
.text("Data as of March 14")
.node()
css = `
.city circle {
fill: none;
stroke: black;
}
.city.ne text {
transform: translate(4px, -4px);
}
.city.se text {
transform: translate(4px, 13px);
}
.city.e text {
transform: translate(6px, 4.5px);
}
.city.boston {
display: ${w <= 480 ? "none" : "block"};
}
.city.boston text {
text-anchor: ${w <= 900 ? "end" : "start"};
transform: translate(${w <= 900 ? "-4px" : "4px"}, -4px);
}
.city.chicago text {
text-anchor: ${w <= 620 ? "end" : "start"};
transform: translate(${w <= 620 ? "-4px" : "4px"}, -4px);
}
.city.minneapolis {
display: ${w <= 480 ? "none" : "block"};
}
.city.new-york text {
text-anchor: ${w <= 660 ? "end" : "start"};
transform: translate(${w <= 600 ? "-4px" : "4px"}, -4px);
}
.city.philadelphia {
display: ${w <= 480 ? "none" : "block"};
}
.city.philadelphia text {
text-anchor: ${w <= 768 ? "end" : "start"};
transform: translate(${w <= 768 ? "-6px" : "6px"}, 4.5px);
}
.city.seattle text {
transform: translate(4px, ${w <= 400 ? "13px" : "-4px"});
}
.city.st-louis {
display: ${w <= 480 ? "none" : "block"};
}
.city.washington-dc text {
text-anchor: ${w <= 400 ? "end" : w <= 768 ? "middle" : "start"};
transform: ${w <= 400 ? "translate(-4px, 13px)" : w <= 768 ? "translate(0px, 16px)" : "translate(4px, 13px)"};
}
.city text {
font-size: ${w <= 480 ? "13px" : "14px"};
font-family: ${franklinLight};
}
.city text.bg {
fill: white;
stroke: white;
}
.city text.bg-0 {
stroke-width: 4px;
stroke-opacity: 0.2;
}
.city text.bg-1 {
stroke-width: 2px;
stroke-opacity: 0.5;
}
`
colors = ["#286b1e", "#5e8f22", "#92b52f", "#c8db4d", "#ffffab", "#eac2d2", "#d095b7", "#b06c99", "#7d516f"]
interpolator = interpolatePalette(colors)
scale = d3.scaleDiverging([-20, 0, 20], interpolator)
interval = 1 / (colors.length - 1)
offsets = d3.range(0, 100 + interval * 100, interval * 100)
gradient = gradientLinear()
.offsets(offsets)
.colors(colors)
projection = d3.geoAlbers()
.fitSize([w, h], usGeoOuter)
path = d3.geoPath(projection)
w = width
h = w * 0.631
anomaly = FileAttachment("leaf_anomaly_2023-03-16.nc")
nc = anomaly
.arrayBuffer()
.then((buffer) => new netcdf(buffer))
S0 = nc.getDataVariable("six_leaf_anomaly")
S = S0.map((d, i) => (d !== -9999 ? d : null))
X = nc.getDataVariable("lon")
Y = nc.getDataVariable("lat")
usTopo = FileAttachment("ne_50m_admin_1_states_provinces_lakes@1.json").json()
usGeoInner = topojson.mesh(usTopo, usTopo.objects.ne_50m_admin_1_states_provinces_lakes, (a, b) => a !== b)
usGeoOuter = topojson.mesh(usTopo, usTopo.objects.ne_50m_admin_1_states_provinces_lakes, (a, b) => a === b)
cities = FileAttachment("cities.json").json()
function toSlugCase(x) {
return x.toString().toLowerCase()
.replace(/\s+/g, "-") // Replace spaces with -
.replace(/[^\w\-]+/g, "") // Remove all non-word chars
.replace(/\-\-+/g, "-") // Replace multiple - with single -
.replace(/^-+/, "") // Trim - from start of text
.replace(/-+$/, ""); // Trim - from end of text
}
import { toc } from "@harrystevens/toc"
import { franklinLight } from "1dec0e3505bd3624"
import { gradientLinear } from "@washpostgraphics/gradient-generators"
import { interpolatePalette } from "@harrystevens/roll-your-own-color-palette-interpolator"
netcdf = import("https://cdn.skypack.dev/netcdfjs@2.0.2?min").then(
(d) => d.NetCDFReader
)
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.