5. ๐ Spatial Clustering
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Spatial Constrained Clustering methods are used to divide an original set of n spatial units into p internally connected regions that maximize within similarity.
PostGeoDa offers two popular spatial constrained clustering algorithms: SKATER (Assunรงรฃo et al. ) and REDCAP (Guo ; Guo and Wang ). SKATER stands for Spatial `Kโluster Analysis by Tree Edge Removal, and obtains regionalization through a graph partitioning approach. REDCAP stands for REgionalization with Dynamically Constrained Agglomerative clustering and Partitioning, and consists of a family of six hierarchical regionalization methods.
5.1 SKATER
5.2 REDCAP