The attached image shows a forest gap with red pine represented as circles and white pine represented as crosses. I am interested in determining if there is a positive or negative association between the two species of pine trees (i.e. whether or not they are growing in the same areas). I am aware of Kcross and Kmulti in the R spatstat package. However, since I have 50 gaps to analyze and am more familiar with programming in python than R, I would like to find an iterative approach using ArcGIS and python.
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- How can I implement a bivariate Ripley's K function in ArcGIS?
- Would another form of spatial statistics within ArcGIS be moresuitable for this type of analysis?
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