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In terms of pseudo-code I am using these steps: Define criteria for neighbours using spatial join 'one to many'. In this case it is the polygons that touch each other Connect neighbours by links Use network analysis package, e.g. networkx to build a graph, with weights for all links =1. Define a number of groups (N) and iterate through combination of ...


GRASS GIS has: r.fuzzy: Cluster raster maps using fuzzy logic. In addition GRASS GIS 7.x has r.fuzzy.system Full fuzzy logic standalone classification system with few fuzzy logic families implication and defuzzification and methods Look at Application of GRASS fuzzy modeling system: estimation of prone risk in Arno River Area (pdf), for example. I ...

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