方法对比

	局部空间自相关	局部空间关联指标 (LISA)
领域	空间分析	空间分析
方法族	Regression model	Regression model
起源年份	1995	1995
提出者	Luc Anselin	Luc Anselin
类型	Spatial association analysis	Local spatial statistic
开创性文献	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.
别名	local spatial association, local SA, LISA methods, local spatial clustering	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
相关	6	6
摘要	Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.	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.