Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de Pontos Quentes Getis-Ord Gi*× | Índice de Autocorrelação Espacial Global de Moran× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1992 | 1950 |
| Autor original≠ | Arthur Getis and J. Keith Ord | Patrick A. P. Moran |
| Tipo≠ | Local spatial statistic | Spatial autocorrelation statistic |
| Fonte seminal≠ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| Outros nomes≠ | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| Relacionados≠ | 4 | 6 |
| Resumo≠ | Getis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots). | Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number. |
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