Compara mètodes

	Auto-correlació espacial local	Indicadors Locals d'Associació Espacial (LISA)
Camp	Anàlisi espacial	Anàlisi espacial
Família	Regression model	Regression model
Any d'origen	1995	1995
Autor original	Luc Anselin	Luc Anselin
Tipus	Spatial association analysis	Local spatial statistic
Font 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.
Àlies	local spatial association, local SA, LISA methods, local spatial clustering	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Relacionats	6	6
Resum	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.