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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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Bayesian Geary's Contiguity Ratio

Taksonoomiline meetodikirje · regression-model / spatial-analysis

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

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Taxonomic bucketBayesian Local Indicators of Spatial Associationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Moran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGeary's Cmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Geary's Cmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoran's Imachine-suggested · Relational suggestion, not evidence.