Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Global Getis-Ord Gi*× | Análisis de Puntos Calientes Local Getis-Ord Gi*× | |
|---|---|---|
| Campo | Análisis espacial | Análisis espacial |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1992 | 1992–1995 |
| Autor original | Arthur Getis and J. Keith Ord | Arthur Getis and J. Keith Ord |
| Tipo≠ | Global spatial clustering statistic | Local spatial association statistic |
| Fuente seminal≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. 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 | Global G statistic, Getis-Ord General G, General G*, Global spatial clustering statistic | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Relacionados | 5 | 5 |
| Resumen≠ | The Global Getis-Ord Gi* statistic measures the overall degree of spatial clustering of high or low values across an entire study region. It answers whether the study area, taken as a whole, exhibits significant concentration of high values (hot clustering) or low values (cold clustering), returning a single summary Z-score for the entire dataset. | 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. |
| ScholarGateConjunto de datos ↗ |
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