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I have two datasets which has a length of 10000 columns but it looks like this. Essentially, it has the x- and y- coordinate of every object in a 2d map.

rep x-pos y-pos 1 0.5 0.7 1 0.1 0.0 1 4.6 2.5 2 5.6 5.0 2 0.2 1.0 2 0.4 2.0

I want to measure if the two datasets have similar levels of clustering between the objects. Visually, the 2D maps look like one dataset has a higher number of clusters. Is there a method like mclust or dbscan where I can quantify clustering differences in spatial datasets in . Thanks?

Glen
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    found a relevant thread on gis.stackexchange: https://gis.stackexchange.com/questions/17638/clustering-spatial-data-in-r –  May 02 '22 at 20:19
  • This doesn't appear to be a specific programming question that's appropriate for Stack Overflow. If you seek recommendations for statistical methods to analyze your data, then you should ask such questions over at [stats.se] instead. You are more likely to get better answers there. – MrFlick May 02 '22 at 23:00

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