I have a list of demand points in an area, with latitude, longitude, revenue potential and other variables.
Tried k-means clustering to group these points using Lat, Long and Revenue. The idea is to account for both geographical contiguity and profile. Is there any other way to approach this with spatial statistics? ArcGIS has an extension called Spatial Analyst, SAS has SOM and Alteryx Gallery also has an alternate macro to generate weighted centroids. Has anyone tried these? Or any suggestions on trying this in R?
Thanks in advance !