The 800 largest cities in the world. Compute all geodesic distances between them, feed that to t-sne et voilà.
Original work by Philippe Rivière for Visionscarto.net. Comments and variants very welcome!
(Research block at tsne world.)
forked from Fil's block: tsne world
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<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
body {
margin: 0;
position: fixed;
top: 0;
right: 0;
bottom: 0;
left: 0;
}
</style>
</head>
<body>
<script>
const width = 960,
height = 500,
margin = 40,
scalepop = d3.scaleSqrt().domain([0, 100000]).range([0.2, 24]),
scalecountry = d3.scaleOrdinal(d3.schemeCategory20b),
centerx = d3.scaleLinear()
.range([width / 2 - height / 2 + margin, width / 2 + height / 2 - margin]),
centery = d3.scaleLinear()
.range([margin, height - margin]);
d3.csv('cities.csv', function (cities) {
const data = cities
.sort((a, b) => d3.descending(+a[2015], +b[2015]))
.map((d, i) => {
return {
lon: +d.Longitude,
lat: +d.Latitude,
name: d['Urban Agglomeration'],
r: scalepop(+d[2015]),
color: scalecountry(+d['Country Code'])
};
})
.slice(0, 800);
/*
const canvas = d3.select("body").append("canvas")
.attr("width", width)
.attr("height", height);
*/
const svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
// pos is the array of positions that will be updated by the tsne worker
// start with the geographic coordinates as is (plate-carrée)
// random or [0,0] is fine too
let pos = data.map(d => [d.lon, d.lat]);
const forcetsne = d3.forceSimulation(
data.map(d => (d.x = width / 2, d.y = height / 2, d))
)
.alphaDecay(0.005)
.alpha(0.1)
.force('tsne', function (alpha) {
centerx.domain(d3.extent(pos.map(d => d[0])));
centery.domain(d3.extent(pos.map(d => d[1])));
data.forEach((d, i) => {
d.x += alpha * (centerx(pos[i][0]) - d.x);
d.y += alpha * (centery(pos[i][1]) - d.y);
});
})
.force('collide', d3.forceCollide().radius(d => 1.5 + d.r))
.on('tick', function () {
// drawcanvas(canvas, data);
drawsvg(svg, data);
});
function drawcanvas(canvas, nodes) {
let context = canvas.node().getContext("2d");
context.clearRect(0, 0, width, width);
for (var i = 0, n = nodes.length; i < n; ++i) {
var node = nodes[i];
context.beginPath();
context.moveTo(node.x, node.y);
context.arc(node.x, node.y, node.r, 0, 2 * Math.PI);
context.lineWidth = 0.5;
context.fillStyle = node.color;
context.fill();
}
}
function drawsvg(svg, nodes) {
const g = svg.selectAll('circle')
.data(nodes);
g.enter().append('circle')
.attr('r', d => d.r)
.attr('fill', d => d.color)
.append('title')
.text(d => d.name);
g.attr('cx', d => d.x)
.attr('cy', d => d.y);
}
d3.queue()
.defer(d3.text, 'tsne.js')
.defer(d3.text, 'worker.js')
.awaitAll(function (err, scripts) {
const worker = new Worker(
window.URL.createObjectURL(
new Blob(scripts, {
type: "text/javascript"
})
)
);
worker.postMessage({
maxIter: 10,
dim: 2,
perplexity: 30.0,
data: data
});
worker.onmessage = function (e) {
if (e.data.log) console.log.apply(this, e.data.log);
if (e.data.pos) pos = e.data.pos;
if (e.data.done && e.data.done < 10000 && e.data.cost > 1e-2) {
worker.postMessage({
maxIter: e.data.done + 10,
});
}
};
});
});
</script>
</body>
https://d3js.org/d3.v4.min.js