Compară metode

	Autocorelația spațială locală	Indicatori Locali de Asociere Spațială (LISA)
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	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
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.	LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.