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| 베이지안 기어리 C (Bayesian Geary's C)× | 베이지안 모란 I (Bayesian Moran's I)× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1954 (Bayesian framing: 2000s onward) | 1950 / 2000s |
| 창시자≠ | Geary (1954); Bayesian extension via hierarchical spatial modeling literature | Moran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s) |
| 유형≠ | Bayesian spatial autocorrelation statistic | Bayesian spatial autocorrelation test |
| 원전≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗ | Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611 |
| 별칭 | Bayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratio | Bayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial association |
| 관련 | 6 | 6 |
| 요약≠ | 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. | 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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