It is developed by D. Guo (2008). Like SKATER, REDCAP starts from building a spanning tree with 4 different ways (single-linkage, average-linkage, complete-linkage and wards-linkage). Then, REDCAP provides 2 different ways (first‐order and full-order constraining) to prune the tree to find clusters. The first-order approach with a minimum spanning tree is exactly the same with SKATER. In GeoDa and pygeoda, the following methods are provided:
The node is based on the package pygeoda and here are related tools and references:
The number of user-defined clusters.
The seed for the random number generator.
Input linkage mode.
Select the geometry column to implement spatial clustering.
Select the bound column for clusters with minibound.
Select columns for calculating attribute distance.
The sum of the bounding variable in each cluster must be greater than this minimum value.
Input spatial weight mode.
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