dataviz engineer w/ passion for algorithms, maps & music
projection = spilhausSquare()
.fitExtent([[50 , 50], [width - 50, height - 50]], sphere);
latlon
spilhausSquare = {
const { abs, max, min, sin, cos, asin, acos, tan } = Math;
const pi = Math.PI, halfPi = pi / 2;
const spilhausSquareRaw = function(lambda, phi) {
let a, b, sm, sn, xy;
const sp = tan(0.5 * phi);
a = cos(asin(sp)) * sin(0.5 * lambda);
sm = (sp + a) < 0;
sn = (sp - a) < 0;
b = acos(sp);
a = acos(a);
return ellipticFactory(a, b, sm, sn);
}
spilhausSquareRaw.invert = function(x, y) {
// Very rough initial guess (especially at high northings)
let phi = max(min(y / 1.8540746957596883, 1), -1) * halfPi;
let lam = abs(phi) < pi ? max(min(x / 1.854074716833181, 1), -1) * pi : 0;
return inverse(x, y, lam, phi, spilhausSquareRaw);
}
return () => d3.geoProjection(spilhausSquareRaw)
.rotate([-66.94970198, 49.56371678, 40.17823482])
.scale(134.838125);
}
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.
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