방법 비교

	Robust Local Indicators of Spatial Association (Robust LISA)	지역적 모란 I (LISA)
분야	공간분석	공간분석
계열	Regression model	Regression model
기원 연도	1995–2000s	1995
창시자	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians	Luc Anselin
유형	Local spatial autocorrelation statistic (robust variant)	Local spatial autocorrelation statistic
원전	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.
별칭	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
관련	6	6
요약	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.