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Bayesian Moran's I×C Geary’ego×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania1950 / 2000s1954
TwórcaMoran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)Roy C. Geary
TypBayesian spatial autocorrelation testSpatial autocorrelation statistic
Źródło pierwotneHaining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗
Inne nazwyBayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial associationGeary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c
Pokrewne64
PodsumowanieBayesian 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.Geary's C is a global spatial autocorrelation statistic that measures whether nearby areal units share similar attribute values. Unlike Moran's I, it focuses on squared differences between adjacent pairs rather than cross-products of deviations from the mean, making it more sensitive to local dissimilarity and less influenced by global trends.
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  1. v1
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  3. PUBLISHED

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