Published
Edited
Sep 16, 2019
10 stars
Hello, spectral.jsPseudo-blue noise shaderHow fast does walk-on-spheres converge?KDE estimationSpherical Perlin NoiseHull paddingDithered heatmapMean value coordinatesHeatmapPoisson potentialK-means binningImage FFTTransport to a mapSquircle interpolatorDisc TransportAn approximate formula for the chord area inverse problemWalk on SpheresnoFrame contoursHue blurMoving average blurFitting a sigmoidGaussian SmoothingPlateau detectionHello, LOESSLinde–Buzo–Gray stipplinginterpolateBalanced?Hello, delatinHillshading & supersamplingBlurry contoursSpherical contours iteratorSpherical contours as a gradientGeo Voronoi interpolationModified Shepard’s method II (with geoContour)MapfillSpherical contoursModified Shepard’s methodShepard’s methodSpherical kernel interpolation with nearest neighborsSpherical HeatmapSpherical KDE Interpolation
Kriging
kriging = require("@sakitam-gis/kriging@0.1")
data = {
const n = 300,
t = new Float32Array(n),
x = new Float32Array(n),
y = new Float32Array(n);
for (let i = 0; i < n; i++) {
x[i] = -180 + Math.random() * 360;
y[i] = 90 * (Math.random() - Math.random());
t[i] =
(d3.geoContains(land, [x[i], y[i]]) ? 1 : -1) * (0.05 + Math.random());
}
return { t, x, y };
}
variogram = kriging.train(data.t, data.x, data.y, "exponential", 0, 10)
map = {
const context = DOM.context2d(width, height),
path = d3.geoPath(projection).context(context);
context.save();
context.beginPath();
path({ type: "Sphere" });
context.clip();
for (let x = 0; x < width; x += 5) {
for (let y = 0; y < height; y += 5) {
const p = projection.invert([x - 0.5, y - 0.5]);
context.fillStyle = color(kriging.predict(...p, variogram));
context.fillRect(x, y, 10, 10);
}
}
context.restore();
context.beginPath();
path(land);
context.stroke();
context.beginPath();
path.pointRadius(1.5);
context.fillStyle = "white";
path({ type: "MultiPoint", coordinates: d3.zip(data.x, data.y) });
context.fill();
context.beginPath();
path({ type: "Sphere" });
context.stroke();
return context.canvas;
}
projection = d3.geoEqualEarth()
height = 500
color = d3.scaleSequential(d3.interpolateRdBu).domain([1, -1])
d3 = require("d3@5")
land = d3.json(
"https://unpkg.com/visionscarto-world-atlas@0.0.6/world/110m_land.geojson"
)
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