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Байесовский критерий Гири C×C Geary×
ОбластьПространственный анализПространственный анализ
СемействоRegression modelRegression model
Год появления1954 (Bayesian framing: 2000s onward)1954
Автор методаGeary (1954); Bayesian extension via hierarchical spatial modeling literatureRoy C. Geary
ТипBayesian spatial autocorrelation statisticSpatial autocorrelation statistic
Основополагающий источникGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗
Другие названияBayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratioGeary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c
Связанные64
СводкаBayesian 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.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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Bayesian Geary's C · Geary's C. Получено 2026-06-18 из https://scholargate.app/ru/compare