Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Lokální analýza ohnisek zájmu (Getis-Ord Gi*)× | Analýza horkých míst (Getis-Ord Gi*)× | |
|---|---|---|
| Obor | Prostorová analýza | Prostorová analýza |
| Rodina | Regression model | Regression model |
| Rok vzniku≠ | 1992-1995 | 1992 |
| Tvůrce≠ | Getis & Ord; Ord & Getis | Arthur Getis and J. Keith Ord |
| Typ | Local spatial statistic | Local spatial statistic |
| Původní zdroj≠ | Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4), 286-306. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ |
| Další názvy | local Getis-Ord Gi*, Gi* statistic, spatial hot spot detection, local spatial clustering | Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA |
| Příbuzné | 5 | 5 |
| Shrnutí≠ | Local Hot Spot Analysis uses the Getis-Ord Gi* statistic to identify specific geographic locations where high or low values cluster together more than expected by chance. Unlike global measures that return a single summary for the whole study area, this local statistic produces a z-score for each feature, pinpointing exactly where statistically significant hot spots and cold spots occur. | Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation. |
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