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# nz_worley2
Returns the 2D [Worley noise ](https://en.wikipedia.org/wiki/Worley_noise ) value `[cell_x, cell_y, noise]` at the (x, y) coordinate.
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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
## Parameters
- `x` : The x coordinate.
- `y` : The y coordinate.
- `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"` .
## Examples
use < noise / nz_worley2 . scad > ;
use < util / dedup . scad > ;
size = [100, 50];
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grid_w = 10;
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dist = "euclidean"; // [euclidean, manhattan, chebyshev, border]
seed = 51;
points = [
for(y = [0:size[1] - 1])
for(x = [0:size[0] - 1])
[x, y]
];
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cells = [for(p = points) nz_worley2(p[0], p[1], seed, grid_w, dist)];
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max_dist = max([for(c = cells) c[2]]);
for(i = [0:len(cells) - 1]) {
c = cells[i][2] / max_dist;
color([c, c, c])
linear_extrude(cells[i][2])
translate(points[i])
square(1);
}
cells_pts = dedup([for(c = cells) [c[0], c[1]]]);
for(p = cells_pts) {
translate(p)
linear_extrude(max_dist)
square(1);
}
