AZP Greedy. A greedy algorithm for automatic zoning procedure (AZP).
The automatic zoning procedure (AZP) was initially outlined in Openshaw (1977) to address some of the consequences of the modifiable areal unit problem (MAUP). In essence, it consists of a heuristic to find the best set of combinations of contiguous spatial units into p regions, minimizing the within sum of squares as a criterion of homogeneity. The number of regions needs to be specified beforehand, as in most other clustering methods considered so far.
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.
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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