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Paikalliset tilallisen assosiaation indikaattorit (LISA)×Hot Spot Analysis (Getis-Ord Gi*)×
TieteenalaSpatiaalianalyysiSpatiaalianalyysi
MenetelmäperheRegression modelRegression model
Syntyvuosi19951992
KehittäjäLuc AnselinArthur Getis and J. Keith Ord
TyyppiLocal spatial statisticLocal spatial statistic
AlkuperäislähdeAnselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗
RinnakkaisnimetLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISAGetis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA
Liittyvät65
TiivistelmäLISA, 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.Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation.
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ScholarGateVertaile menetelmiä: Local Indicators of Spatial Association · Hot Spot Analysis. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare