Vertaile menetelmiä

	Paikallinen spatiaalinen autokorrelaatio	Paikalliset tilallisen assosiaation indikaattorit (LISA)
Tieteenala	Spatiaalianalyysi	Spatiaalianalyysi
Menetelmäperhe	Regression model	Regression model
Syntyvuosi	1995	1995
Kehittäjä	Luc Anselin	Luc Anselin
Tyyppi	Spatial association analysis	Local spatial statistic
Alkuperäislähde	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.
Rinnakkaisnimet	local spatial association, local SA, LISA methods, local spatial clustering	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Liittyvät	6	6
Tiivistelmä	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.