Quantifying a 3D scatter plot

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there is tricky problem I just cant solve with my basic MATLAB skills.

I have a 3D-scatter plot with colour code (that refers to the term property in the caption) that I creted from a four column array (with X,Y,Z and a property column).

With the 3D-scatter I can visualize the spatial property distribution. However, it is rather a qualitative representation (sure the colour code refers to a quantisized colour bar, but with more than 31100 points it is not really an exact reprensation). What I would like to do is finding a good way to quantify the scatter plot and to identify certain zones of interest.

I though about segmenting the 3D-scatter plot coordinate system into smaller cube-like shapes and sum up the property values of the corresponding points inside of these cubes to compare them with each other.

Can you think of a way how to solve this problem? I hope this was understandable.

Best wishes!

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