Comparar métodos

	Autocorrelación espacial local	C de Geary Local
Campo	Análisis espacial	Análisis espacial
Familia	Regression model	Regression model
Año de origen	1995	1995
Autor original	Luc Anselin	Luc Anselin
Tipo	Spatial association analysis	Local spatial statistic
Fuente seminal	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.
Alias	local spatial association, local SA, LISA methods, local spatial clustering	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Relacionados	6	6
Resumen	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.