方法对比

	贝叶斯 Moran's I	Geary's C
领域	空间分析	空间分析
方法族	Regression model	Regression model
起源年份	1950 / 2000s	1954
提出者	Moran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)	Roy C. Geary
类型	Bayesian spatial autocorrelation test	Spatial autocorrelation statistic
开创性文献	Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611	Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145.
别名	Bayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial association	Geary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c
相关	6	4
摘要	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.	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.