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| Statystyka Robust Getis-Ord Gi*× | Lokalna analiza Gi* Getisa-Ord (analiza gorących punktów)× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1992 (base); robust variants circa 2000s–2010s | 1992–1995 |
| Twórca≠ | Getis & Ord (base statistic); robust extensions developed in subsequent spatial statistics literature | Arthur Getis and J. Keith Ord |
| Typ≠ | Local spatial statistic | Local spatial association statistic |
| Źródło pierwotne | 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 ↗ |
| Inne nazwy | Robust Gi*, Robust local Gi star, outlier-resistant hot spot analysis, robust local spatial autocorrelation Gi* | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | The Robust Getis-Ord Gi* statistic extends the classical Gi* hot-spot measure to handle outliers in spatial data. By using robust estimators of the mean and variance — such as trimmed means, medians, or down-weighted influential observations — it identifies statistically significant spatial clusters of high or low values even when the attribute distribution contains extreme values that would distort the standard Gi*. | 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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