विधियों की तुलना करें

	स्थानीय स्थानिक स्वसहसंबंध	स्थानीय गियरिस सी
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1995	1995
प्रवर्तक	Luc Anselin	Luc Anselin
प्रकार	Spatial association analysis	Local spatial statistic
मौलिक स्रोत	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.
उपनाम	local spatial association, local SA, LISA methods, local spatial clustering	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
संबंधित	6	6
सारांश	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.