Regression modelGIS / spatial

Bayesian Geary's C

Bayesian Geary's C embeds the classical Geary contiguity ratio within a Bayesian hierarchical framework. Instead of a single point estimate and asymptotic p-value, it produces a posterior distribution over the statistic (or over spatially structured random effects), quantifying uncertainty about spatial autocorrelation while formally incorporating prior knowledge about the spatial process.

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Sources

  1. Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI: 10.2307/2986645
  2. Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2004). Hierarchical Modeling and Analysis for Spatial Data. Chapman & Hall/CRC. ISBN: 978-1584884101

Related methods

ScholarGateBayesian Geary's C (Bayesian Geary's Contiguity Ratio). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/bayesian-gearys-c