| [e4c61dd] | 1 | import {blur2, max, ticks} from "d3-array";
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| 2 | import {slice} from "./array.js";
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| 3 | import constant from "./constant.js";
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| 4 | import Contours from "./contours.js";
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| 5 |
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| 6 | function defaultX(d) {
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| 7 | return d[0];
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| 8 | }
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| 9 |
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| 10 | function defaultY(d) {
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| 11 | return d[1];
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| 12 | }
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| 13 |
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| 14 | function defaultWeight() {
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| 15 | return 1;
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| 16 | }
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| 17 |
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| 18 | export default function() {
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| 19 | var x = defaultX,
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| 20 | y = defaultY,
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| 21 | weight = defaultWeight,
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| 22 | dx = 960,
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| 23 | dy = 500,
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| 24 | r = 20, // blur radius
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| 25 | k = 2, // log2(grid cell size)
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| 26 | o = r * 3, // grid offset, to pad for blur
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| 27 | n = (dx + o * 2) >> k, // grid width
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| 28 | m = (dy + o * 2) >> k, // grid height
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| 29 | threshold = constant(20);
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| 30 |
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| 31 | function grid(data) {
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| 32 | var values = new Float32Array(n * m),
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| 33 | pow2k = Math.pow(2, -k),
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| 34 | i = -1;
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| 35 |
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| 36 | for (const d of data) {
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| 37 | var xi = (x(d, ++i, data) + o) * pow2k,
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| 38 | yi = (y(d, i, data) + o) * pow2k,
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| 39 | wi = +weight(d, i, data);
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| 40 | if (wi && xi >= 0 && xi < n && yi >= 0 && yi < m) {
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| 41 | var x0 = Math.floor(xi),
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| 42 | y0 = Math.floor(yi),
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| 43 | xt = xi - x0 - 0.5,
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| 44 | yt = yi - y0 - 0.5;
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| 45 | values[x0 + y0 * n] += (1 - xt) * (1 - yt) * wi;
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| 46 | values[x0 + 1 + y0 * n] += xt * (1 - yt) * wi;
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| 47 | values[x0 + 1 + (y0 + 1) * n] += xt * yt * wi;
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| 48 | values[x0 + (y0 + 1) * n] += (1 - xt) * yt * wi;
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| 49 | }
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| 50 | }
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| 51 |
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| 52 | blur2({data: values, width: n, height: m}, r * pow2k);
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| 53 | return values;
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| 54 | }
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| 55 |
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| 56 | function density(data) {
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| 57 | var values = grid(data),
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| 58 | tz = threshold(values),
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| 59 | pow4k = Math.pow(2, 2 * k);
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| 60 |
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| 61 | // Convert number of thresholds into uniform thresholds.
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| 62 | if (!Array.isArray(tz)) {
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| 63 | tz = ticks(Number.MIN_VALUE, max(values) / pow4k, tz);
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| 64 | }
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| 65 |
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| 66 | return Contours()
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| 67 | .size([n, m])
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| 68 | .thresholds(tz.map(d => d * pow4k))
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| 69 | (values)
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| 70 | .map((c, i) => (c.value = +tz[i], transform(c)));
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| 71 | }
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| 72 |
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| 73 | density.contours = function(data) {
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| 74 | var values = grid(data),
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| 75 | contours = Contours().size([n, m]),
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| 76 | pow4k = Math.pow(2, 2 * k),
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| 77 | contour = value => {
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| 78 | value = +value;
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| 79 | var c = transform(contours.contour(values, value * pow4k));
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| 80 | c.value = value; // preserve exact threshold value
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| 81 | return c;
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| 82 | };
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| 83 | Object.defineProperty(contour, "max", {get: () => max(values) / pow4k});
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| 84 | return contour;
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| 85 | };
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| 86 |
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| 87 | function transform(geometry) {
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| 88 | geometry.coordinates.forEach(transformPolygon);
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| 89 | return geometry;
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| 90 | }
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| 91 |
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| 92 | function transformPolygon(coordinates) {
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| 93 | coordinates.forEach(transformRing);
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| 94 | }
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| 95 |
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| 96 | function transformRing(coordinates) {
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| 97 | coordinates.forEach(transformPoint);
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| 98 | }
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| 99 |
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| 100 | // TODO Optimize.
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| 101 | function transformPoint(coordinates) {
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| 102 | coordinates[0] = coordinates[0] * Math.pow(2, k) - o;
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| 103 | coordinates[1] = coordinates[1] * Math.pow(2, k) - o;
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| 104 | }
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| 105 |
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| 106 | function resize() {
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| 107 | o = r * 3;
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| 108 | n = (dx + o * 2) >> k;
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| 109 | m = (dy + o * 2) >> k;
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| 110 | return density;
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| 111 | }
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| 112 |
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| 113 | density.x = function(_) {
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| 114 | return arguments.length ? (x = typeof _ === "function" ? _ : constant(+_), density) : x;
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| 115 | };
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| 116 |
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| 117 | density.y = function(_) {
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| 118 | return arguments.length ? (y = typeof _ === "function" ? _ : constant(+_), density) : y;
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| 119 | };
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| 120 |
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| 121 | density.weight = function(_) {
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| 122 | return arguments.length ? (weight = typeof _ === "function" ? _ : constant(+_), density) : weight;
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| 123 | };
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| 124 |
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| 125 | density.size = function(_) {
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| 126 | if (!arguments.length) return [dx, dy];
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| 127 | var _0 = +_[0], _1 = +_[1];
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| 128 | if (!(_0 >= 0 && _1 >= 0)) throw new Error("invalid size");
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| 129 | return dx = _0, dy = _1, resize();
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| 130 | };
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| 131 |
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| 132 | density.cellSize = function(_) {
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| 133 | if (!arguments.length) return 1 << k;
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| 134 | if (!((_ = +_) >= 1)) throw new Error("invalid cell size");
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| 135 | return k = Math.floor(Math.log(_) / Math.LN2), resize();
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| 136 | };
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| 137 |
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| 138 | density.thresholds = function(_) {
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| 139 | return arguments.length ? (threshold = typeof _ === "function" ? _ : Array.isArray(_) ? constant(slice.call(_)) : constant(_), density) : threshold;
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| 140 | };
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| 141 |
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| 142 | density.bandwidth = function(_) {
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| 143 | if (!arguments.length) return Math.sqrt(r * (r + 1));
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| 144 | if (!((_ = +_) >= 0)) throw new Error("invalid bandwidth");
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| 145 | return r = (Math.sqrt(4 * _ * _ + 1) - 1) / 2, resize();
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| 146 | };
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| 147 |
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| 148 | return density;
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| 149 | }
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