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국지적 공간 자기상관×지역 기어 C (Local Geary's C)×
분야공간분석공간분석
계열Regression modelRegression model
기원 연도19951995
창시자Luc AnselinLuc Anselin
유형Spatial association analysisLocal spatial statistic
원전Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
별칭local spatial association, local SA, LISA methods, local spatial clusteringLocal Geary, local spatial contiguity ratio, LISA Geary, local c statistic
관련66
요약Local 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.
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ScholarGate방법 비교: Local Spatial Autocorrelation · Local Geary's C. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare