Methoden vergleichen

	Robuste Getis-Ord Gi*-Statistik	Lokale Getis-Ord Gi* (Hot Spot Analyse)
Fachgebiet	Räumliche Analyse	Räumliche Analyse
Familie	Regression model	Regression model
Entstehungsjahr	1992 (base); robust variants circa 2000s–2010s	1992–1995
Urheber	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
Wegweisende Quelle	Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206.	Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206.
Aliasnamen	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
Verwandt	5	5
Zusammenfassung	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.