Сравнение методов

	Байесовский критерий Гири C	Локальный коэффициент Geary's C
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1954 (Bayesian framing: 2000s onward)	1995
Автор метода	Geary (1954); Bayesian extension via hierarchical spatial modeling literature	Luc Anselin
Тип	Bayesian spatial autocorrelation statistic	Local spatial statistic
Основополагающий источник	Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Другие названия	Bayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratio	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Связанные	6	6
Сводка	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.	Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.