Detect spatial clusters with a flexible spatial scan statistic for polygon count data.
This research plugin runs a flexible spatial scan statistic for polygon count data using a Poisson model, Queen contiguity, and centroid-distance neighborhoods. Expected counts can be calculated from a population field or read from a supplied field. It evaluates primary and secondary clusters with Monte Carlo p-values, then saves regional results and detected clusters to a GeoPackage and writes cluster summaries and analysis settings to Excel. This is an independent Python implementation; numerical equivalence with rflexscan or FleXScan has not been established. Compare results with benchmark data before research use.
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