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42 lines
1.3 KiB
Markdown
42 lines
1.3 KiB
Markdown
# nz_worley3s
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Returns 3D [Worley noise](https://en.wikipedia.org/wiki/Worley_noise) values `[cell_x, cell_y, cell_z, noise]` at (x, y, z) coordinates.
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It divides the space into grids. The nucleus of each cell is randomly placed in a grid.
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**Since:** 2.3
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## Parameters
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- `points` : A list of `[x, y, z]` coordinates.
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- `seed` : The random seed.
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- `grid_w` : The grid width. Default to 10. Smaller `grid_w` makes more cells.
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- `dist` : The noise value of each point is based on its distance to other cells. Different distance strategies make different noises. The `dist` parameter accepts `"euclidean"`, `"manhattan"`, `"chebyshev"` or `"border"`.
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## Examples
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use <voxel/vx_sphere.scad>
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use <noise/nz_worley3s.scad>
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grid_w = 10;
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dist = "euclidean"; // [euclidean, manhattan, chebyshev, border]
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seed = 51;
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points = vx_sphere(20);
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cells = nz_worley3s(points, seed, grid_w, dist);
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for(i = [0:len(cells) - 1]) {
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c = (norm([cells[i].x, cells[i].y, cells[i].z]) % 20) / 20;
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color([c, c, c])
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translate(points[i])
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cube(1);
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}
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You can build things like [worley_noise_ball](https://github.com/JustinSDK/dotSCAD/blob/master/examples/worley_noise_ball.scad).
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