Salīdzināt metodes

	Lokālā telpiskā autokorelācija	Lokālās telpiskās asociācijas indikatori (LISA)
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Regression model
Izcelsmes gads	1995	1995
Autors	Luc Anselin	Luc Anselin
Tips	Spatial association analysis	Local spatial statistic
Pirmavots	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.
Citi nosaukumi	local spatial association, local SA, LISA methods, local spatial clustering	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Saistītās	6	6
Kopsavilkums	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.