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	ロバスト空間自己相関	空間的関連の局所的指標（LISA）
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1981–1995	1995
提唱者	Cliff & Ord; extended by Anselin and colleagues	Luc Anselin
種類	Spatial dependence test (robust variant)	Local spatial statistic
原典	Anselin, L., & Florax, R. J. G. M. (1995). Small sample properties of tests for spatial dependence in regression models: some further results. In Anselin, L. & Florax, R. J. G. M. (Eds.), New Directions in Spatial Econometrics. Springer, Berlin.	Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115.
別名	robust Moran's I, robust spatial dependence test, outlier-resistant spatial autocorrelation, RSA	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
関連	5	6
概要	Robust spatial autocorrelation methods measure the degree to which nearby geographic units share similar values, while explicitly controlling for the distorting influence of spatial outliers and extreme observations. They extend classical statistics such as Moran's I by down-weighting or trimming observations that would otherwise inflate or deflate the autocorrelation signal.	LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.