Regression modelGIS / spatial

Bayesian Moran's I

Bayesian Moran's I embeds the classical Moran's I spatial autocorrelation test within a Bayesian probabilistic framework. Rather than producing a single p-value, it yields a posterior distribution over the spatial autocorrelation parameter, enabling uncertainty quantification, incorporation of prior knowledge, and more principled inference in small or irregular spatial datasets.

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Sources

  1. Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611
  2. Lee, S.-I. (2001). Developing a bivariate spatial association measure: an integration of Pearson's r and Moran's I. Journal of Geographical Systems, 3(4), 369–385. link

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Referenced by

ScholarGateBayesian Moran's I (Bayesian Moran's I Spatial Autocorrelation Test). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/bayesian-morans-i