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I have some large polygons that I want to subdivide into smaller Voronoi polygons. I am using the very helpful function that someone provided here... Dividing Polygon into parts which have equal area using R

The Voronoi are all roughly the same size though and I want to make them of various sizes but based around a mean and standard deviation that I can provide and alter. Is there a simple way to do this? I'm guessing instead of using kmeans to provide centre points for the Voronoi, use random points enter image description here enter image description here

Vince
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user3390486
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  • You might be able to use the same technique but creating clusters of a size given by the distribution you are trying to approximate. Tricky though, I'm not sure that's a standard function of clustering algorithms. – Spacedman May 31 '23 at 10:47

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