方法对比

	局部空间自相关	局部吉尔里C
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	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
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.	Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.