I would like to cluster a geo map using the k-means cluster algorithms, or another cluster algorithm: my scope is identify clusters based on geographical location that have similarites between a specific attribute/s: the clusters obtained are a combination of location and a KPI. There any methodology or procedure I could use in SAS?
Hello,
I think you need something like "Spatially constrained hierarchical clustering".
No idea how to do that in SAS though.
SAS has Density-based spatial clustering of applications with noise (DBSCAN) but in DBSCAN that space has no geographical connotation.
I think you need to program it.
Maybe you can use the SPP procedure (?).
The SPP procedure performs analysis for spatial point patterns in two dimensions.
BR,
Koen
Hi Koen,
thanks a lot for your reply!
Not sure if any of this will answer your question.
https://support.sas.com/rnd/app/stat/procedures/SpatialAnalysis.html
Spatial Point Patterns specifically
https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_spp_examples01.htm
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