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| Indice I de Moran global× | La statistique Gi* de Getis-Ord locale (Analyse de points chauds)× | |
|---|---|---|
| Domaine | Analyse spatiale | Analyse spatiale |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1950 | 1992–1995 |
| Auteur d'origine≠ | Patrick Alfred Pierce Moran | Arthur Getis and J. Keith Ord |
| Type≠ | Global spatial autocorrelation test / index | Local spatial association statistic |
| Source fondatrice≠ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Alias | Moran's I, global spatial autocorrelation index, Moran index, GMI | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | Global Moran's I is the most widely used single-number summary of spatial autocorrelation across an entire study area. It compares the attribute value at each location with values at neighbouring locations using a spatial weights matrix, and returns a statistic ranging from −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering). A significance test determines whether the observed pattern is stronger than random chance. | The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence. |
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