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Globale räumliche Autokorrelation×Lokales Moran-I (LISA)×
FachgebietRäumliche AnalyseRäumliche Analyse
FamilieRegression modelRegression model
Entstehungsjahr19501995
UrheberP. A. P. Moran (Moran's I, 1950); generalized by Luc AnselinLuc Anselin
TypSpatial statistic / hypothesis testLocal spatial autocorrelation statistic
Wegweisende QuelleMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Aliasnamenglobal spatial dependence, global Moran's I, GSA, global spatial clustering measureLocal Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
Verwandt66
ZusammenfassungGlobal 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.
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ScholarGateMethoden vergleichen: Global Spatial Autocorrelation · Local Moran's I. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare