手法を比較

	ロバストなMoran's I	ロバスト空間的自己相関の局所指標 (Robust LISA)
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1990s–2000s	1995–2000s
提唱者	Extension of Moran (1950); robust adaptations developed in spatial statistics literature	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
種類	Robust spatial autocorrelation statistic	Local spatial autocorrelation statistic (robust variant)
原典	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
別名	outlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial association	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights
関連	6	6
概要	Robust Moran's I is an outlier-resistant adaptation of the classic Moran's I spatial autocorrelation statistic. By replacing the standard mean-based standardization with resistant measures of center and spread, it detects genuine geographic clustering without being distorted by a small number of extreme values in the attribute of interest.	Robust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.