Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| I de Moran Bayesiano× | Razão de Contiguidade C de Geary× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1950 / 2000s | 1954 |
| Autor original≠ | Moran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s) | Roy C. Geary |
| Tipo≠ | Bayesian spatial autocorrelation test | Spatial autocorrelation statistic |
| Fonte seminal≠ | 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. link ↗ |
| Outros nomes | 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 |
| Relacionados≠ | 6 | 4 |
| Resumo≠ | 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. |
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