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| Globale Hot-Spot-Analyse (Getis-Ord G-Statistik)× | Lokale Getis-Ord Gi* (Hot Spot Analyse)× | |
|---|---|---|
| Fachgebiet | Räumliche Analyse | Räumliche Analyse |
| Familie | Regression model | Regression model |
| Entstehungsjahr≠ | 1992 | 1992–1995 |
| Urheber | Arthur Getis and J. Keith Ord | Arthur Getis and J. Keith Ord |
| Typ≠ | Global spatial concentration test | Local spatial association statistic |
| Wegweisende Quelle≠ | 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 ↗ |
| Aliasnamen | Global G statistic, Getis-Ord G, global spatial clustering test, global concentration statistic | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | Global Hot Spot Analysis uses the Getis-Ord G statistic to determine whether high or low attribute values are spatially concentrated across an entire study area. It answers one question: is there overall clustering of high values (a hot spot tendency) or low values (a cold spot tendency) in the dataset as a whole, producing a single summary test for the full region. | 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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