Võrdle meetodeid

	Globaalne ruumiline autokorrelatsioon	Local Moran's I (LISA)
Valdkond	Ruumianalüüs	Ruumianalüüs
Perekond	Regression model	Regression model
Tekkeaasta	1950	1995
Looja	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	Luc Anselin
Tüüp	Spatial statistic / hypothesis test	Local spatial autocorrelation statistic
Algallikas	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
Rööpnimetused	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
Seotud	6	6
Kokkuvõte	Global Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.	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.