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Autokorelasi Spatial Lokal×Petunjuk Tempatan bagi Perkaitan Ruang (LISA)×
BidangAnalisis ReruangAnalisis Reruang
KeluargaRegression modelRegression model
Tahun asal19951995
PengasasLuc AnselinLuc Anselin
JenisSpatial association analysisLocal spatial statistic
Sumber perintisAnselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Aliaslocal spatial association, local SA, LISA methods, local spatial clusteringLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Berkaitan66
RingkasanLocal 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.
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ScholarGateBandingkan kaedah: Local Spatial Autocorrelation · Local Indicators of Spatial Association. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare