手法を比較

	ロバスト空間的自己相関の局所指標 (Robust LISA)	局所的モラン指数 (LISA)
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1995–2000s	1995
提唱者	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians	Luc Anselin
種類	Local spatial autocorrelation statistic (robust variant)	Local spatial autocorrelation statistic
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	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
関連	6	6
概要	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.	Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.