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spatialRegroup: Iterative Spatial Regrouping of Administrative Units by
Attributive Affinity
Evaluates the statistical coherence of existing administrative
partitions (e.g. inter-municipal groupings, districts) by identifying
spatial units whose attributive profile is more similar to a neighbouring
group than to their own. Border units are iteratively reassigned to the
group they are most affine with, based on Euclidean or Mahalanobis
distance computed on user-supplied numeric variables, with optional
per-variable weighting and standardisation. Spatial contiguity is
enforced throughout: isolated candidates are reintegrated into their
original group, disconnected fragments are resolved, and empty groups
are restored. Convergence is monitored via an eta-squared cohesion
criterion. The resulting partition can be compared to the original
administrative delineation using multilevel models, providing a
quantitative measure of boundary inefficiency.
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