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Lokální indikátory prostorové asociace (LISA)×Geograficky vážená regrese (GWR)×
OborProstorová analýzaProstorová analýza
RodinaRegression modelRegression model
Rok vzniku19952002
TvůrceLuc AnselinFotheringham, Brunsdon & Charlton
TypLocal spatial statisticLocal spatial regression
Původní zdrojAnselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Další názvyLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISAGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Příbuzné65
ShrnutíLISA, 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.Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.
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ScholarGatePorovnat metody: Local Indicators of Spatial Association · Geographically Weighted Regression. Získáno 2026-06-19 z https://scholargate.app/cs/compare