방법 비교

	전역 공간 자기상관	국지적 공간 자기상관
분야	공간분석	공간분석
계열	Regression model	Regression model
기원 연도	1950	1995
창시자	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	Luc Anselin
유형	Spatial statistic / hypothesis test	Spatial association analysis
원전	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
별칭	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	local spatial association, local SA, LISA methods, local spatial clustering
관련	6	6
요약	Global Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.	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.