D3 Examples - Dorling cartogram transitions #2

Dorling cartogram transitions #2
Animating between various Dorling-ish cartograms based on some random data from the USDA Agricultural Census. This version computes the next layout in a web worker while the animation runs to save a bit of time. You could get a more or less contiguous layout by adjusting the strength of the link force in worker.js.
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<!DOCTYPE html>
<meta charset="utf-8">
<style>
​
path {
  stroke: #000;
  stroke-width: 1px;
}
​
text {
  font: 600 36px sans-serif;
  text-anchor: end;
}
​
</style>
<body>
<svg width="960", height="600"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<script src="https://unpkg.com/topojson@3"></script>
<script>
​
var svg = d3.select("svg"),
    width = +svg.attr("width"),
    height = +svg.attr("height"),
    radius = d3.scaleSqrt().range([0, 72]).clamp(true),
    color = d3.scaleLinear(),
    worker = new Worker("worker.js"),
    label = svg.append("text").attr("x", width - 25).attr("y", height - 25);
​
var colorSchemes = [
  d3.interpolateOranges,
  d3.interpolatePuRd,
  d3.interpolateYlGn,
  d3.interpolateYlOrBr,
  d3.interpolateYlGnBu
];
​
d3.queue()
  .defer(d3.json, "us.json")
  .defer(d3.csv, "usda.csv", numeric)
  .await(function(err, us, data) {
    var neighbors = topojson.neighbors(us.objects.states.geometries),
        features = topojson.feature(us, us.objects.states).features,
        columns = d3.keys(data[0]).filter(d => d !== "id"),
        dataById = d3.nest().key(d => d.id).rollup(d => d[0]).object(data);
​
    features.forEach(cleanUpGeometry);
​
    // Get a flat list of neighbor-neighbor links
    var links = d3.merge(neighbors.map(function(neighborSet, i) {
      return neighborSet.map(j => ({ source: i, target: j }));
    }));
​
    var states = svg.selectAll("path")
        .data(features)
        .enter()
        .append("path")
        .attr("d", pathString)
        .attr("fill", "#ccc");
​
    dorling();
​
    function dorling(data) {
      var column = columns.pop(),
          colorScheme = colorSchemes.pop();
​
      // Update scales
      color.domain(d3.extent(features, f => f.count = dataById[f.id][column]));
      radius.domain([0, color.domain()[1]]);
​
      features.forEach(function(f){
        f.r = radius(f.count);
        f.color = colorScheme(color(f.count));
      });
​
      links.forEach(link => link.distance = features[link.source].r + features[link.target].r + 3);
​
      // Compute the next simulation while the current animation runs
      Promise.all([
        compute(features, links),
        data ? animate(data, columns[0]) : Promise.resolve(true)
      ]).then(d => dorling(d[0]));
​
      columns.unshift(column);
      colorSchemes.unshift(colorScheme);
    }
​
    function animate(nodes, column) {
​
      nodes.forEach(function(node){
        var interpolator = d3.interpolateArray(node.rings, node.targets);
​
        node.interpolator = function(t){
          var left, right, r;
          // Return a true circle at t = ~1
          if (t > 0.99) {
            return node.circlePath;
          }
          return pathString(interpolator(t));
        };
      });
​
      return new Promise(function(resolve){
        states
          .data(nodes)
          .sort((a, b) => b.r - a.r)
          .transition()
          .delay(500)
          .duration(1500)
          .attrTween("d", node => node.interpolator)
          .attr("fill", node => node.color)
          .transition()
            .delay(1000)
            .attrTween("d", node => t => node.interpolator(1 - t))
            .attr("fill", "#ccc")
            .on("end", resolve);
​
        label.transition()
          .delay(1000)
          .duration(0)
          .on("end", () => label.text(column))
          .transition()
            .delay(2500)
            .duration(0)
            .on("end", () => label.text(""));
      });
​
    }
​
  });
​
// Post new set of nodes and links to the worker
function compute(nodes, links) {
  return new Promise(function(resolve) {
    worker.onmessage = event => resolve(event.data);
    worker.postMessage({ nodes, links });
  });
}
​
// Turn GeoJSON into a flat list of rings
// Add some extra points to smooth things out
// Compute the relative distances of points along the perimeter
function cleanUpGeometry(f) {
  var centroid = d3.geoPath().centroid(f);
​
  f.x = f.x0 = centroid[0], f.y = f.y0 = centroid[1];
​
  f.rings = f.geometry.type === "Polygon" ? [f.geometry.coordinates] : f.geometry.coordinates;
​
  // Remove holes
  f.rings = f.rings.map(function(polygon){
    polygon[0].area = d3.polygonArea(polygon[0]);
    polygon[0].centroid = d3.polygonCentroid(polygon[0]);
    return polygon[0];
  });
​
  // Largest ring as primary
  f.rings.sort((a, b) => b.area - a.area);
​
  f.perimeter = d3.polygonLength(f.rings[0]);
​
  // Optional step, makes for more circular circles
  bisect(f.rings[0], f.perimeter / 36);
​
  f.rings[0].reduce(function(prev, point){
    point.along = prev ? prev.along + distance(point, prev) : 0;
    return point;
  }, null);
​
  f.startingAngle = Math.atan2(f.rings[0][0][1] - f.y0, f.rings[0][0][0] - f.x0);
​
  delete f.geometry;
​
}
​
function bisect(ring, maxSegmentLength) {
  for (var i = 0; i < ring.length; i++) {
    var a = ring[i], b = i === ring.length - 1 ? ring[0] : ring[i + 1];
​
    while (distance(a, b) > maxSegmentLength) {
      b = midpoint(a, b);
      ring.splice(i + 1, 0, b);
    }
  }
}
​
function distance(a, b) {
  return Math.sqrt((a[0] - b[0]) * (a[0] - b[0]) + (a[1] - b[1]) * (a[1] - b[1]));
}
​
function midpoint(a, b) {
  return [a[0] + (b[0] - a[0]) * 0.5, a[1] + (b[1] - a[1]) * 0.5];
}
​
function pathString(d) {
  return (d.rings || d).map(ring => "M" + ring.join("L") + "Z").join(" ");
}
​
function numeric(row) {
  for (var key in row) {
    if (key !== "id") {
      row[key] = +row[key];
    }
  }
  delete row[""];
  return row;
}
​
</script>
​
    