position = (u, v, r) => {
const spherePoint = [
r * Math.cos(v) * Math.cos(u),
r * Math.cos(v) * Math.sin(u),
r * Math.sin(v)
];
// Noise value at this point on sphere
const offset = perlin3(...spherePoint.map(d => d*scale));
return new THREE.Vector3(
...spherePoint.map((d, i) => d * (1 + coeff * offset))
);
}
sphere = {
const meshes = [];
const du = Math.PI / 30;
const dv = Math.PI / 30;
d3.range(0, 2*Math.PI, du).forEach(u => {
d3.range(-Math.PI/2, Math.PI/2, dv).forEach(v => {
const param = [
{u: u, v: v },
{u: u+du, v: v },
{u: u+du, v: v+dv},
{u: u, v: v+dv}
];
const r = 1;
meshes.push(rect(
...param.map(p => position(p.u, p.v, r)),
materials[material]
));
});
});
return meshes;
}
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.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
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