Salīdzināt metodes
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| Getis-Ord Gi* statistika laika un telpā× | Lokālā Getis-Ord Gi* (Karsto punktu analīze)× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1992 (Gi*); space-time extension ~2000s–2010s | 1992–1995 |
| Autors≠ | Getis & Ord (seminal); space-time extension developed in GIS literature and ArcGIS Emerging Hot Spot Analysis | Arthur Getis and J. Keith Ord |
| Tips≠ | Local spatial statistic (space-time extension) | Local spatial association statistic |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | ST-Gi*, space-time hot spot analysis, emerging hot spot analysis, space-time local autocorrelation statistic | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | The Space-Time Getis-Ord Gi* statistic extends the classic Gi* local hot spot measure into three dimensions — two spatial and one temporal — revealing not only where concentrations of high or low values cluster, but how those clusters evolve, intensify, or diminish over time. It is widely used in crime analysis, epidemiology, ecology, and urban studies. | 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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