手法を比較

	ロバストGetis-Ord Gi*統計量	ホットスポット分析 (Getis-Ord Gi*)
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1992 (base); robust variants circa 2000s–2010s	1992
提唱者	Getis & Ord (base statistic); robust extensions developed in subsequent spatial statistics literature	Arthur Getis and J. Keith Ord
種類	Local spatial statistic	Local spatial statistic
原典	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.
別名	Robust Gi*, Robust local Gi star, outlier-resistant hot spot analysis, robust local spatial autocorrelation Gi*	Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA
関連	5	5
概要	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*.	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.