Compară metode

	Autocorelația spațială locală	C Local Geary
Domeniu	Analiză spațială	Analiză spațială
Familie	Regression model	Regression model
Anul apariției	1995	1995
Autorul original	Luc Anselin	Luc Anselin
Tip	Spatial association analysis	Local spatial statistic
Sursa seminală	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.
Denumiri alternative	local spatial association, local SA, LISA methods, local spatial clustering	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Înrudite	6	6
Rezumat	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.