Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Global Hot Spot Analysis (Getis-Ord G-statistikk)× | Lokal Getis-Ord Gi* (Hot Spot-analyse)× | |
|---|---|---|
| Fagfelt | Romlig analyse | Romlig analyse |
| Familie | Regression model | Regression model |
| Opprinnelsesår≠ | 1992 | 1992–1995 |
| Opphavsperson | Arthur Getis and J. Keith Ord | Arthur Getis and J. Keith Ord |
| Type≠ | Global spatial concentration test | Local spatial association statistic |
| Opprinnelig kilde≠ | 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 G, global spatial clustering test, global concentration statistic | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Relaterte | 5 | 5 |
| Sammendrag≠ | 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. |
| ScholarGateDatasett ↗ |
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