Compara mètodes

	Auto-correlació espacial local	Local Moran's I (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 autocorrelation 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	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
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.	Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.