Determining different areas of different point density

[laurent_delrieu]

In order to work on density of point there is one method named
Gaussian Mixture Model

Mixture model

For me it is the same or similar to Kernel Density Estimation

Kernel density estimation

These method are used to calculate Point Cloud density in Monté-Carlo analysis. I know there are used in spatial domain to calculate the density of debris falling on earth, there are many uses when density is changing greatly.
I put an example of that here

Kernel smoothing of mesh

Here some screen copy of (serious) work I am doing now. The idea is to smooth Monte-Carlo simulations. Mesh representing a density (purple) is smoothed via a Kernel (in red). That gives the blue mesh. I think the “land” is quite pretty. The Z is logarithmic so it explains the gaps seen in the render. [image] [image] [image] [image] The data not in logarithmic scale in Z [image]

But I first calculate a surface associated to each point using Voronoi, each surface is converted to a density (1/m²) then this density is affected to the point, …