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Moran's I×Geographically Weighted Regression (GWR)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka19502002
TvoracPatrick A. P. MoranFotheringham, Brunsdon & Charlton
TipSpatial autocorrelation statisticLocal spatial regression
Temeljni izvorMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Drugi naziviMoran's I statistic, global Moran's I, spatial autocorrelation index, Moran indexGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Srodne65
SažetakMoran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number.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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ScholarGateUporedite metode: Moran's I · Geographically Weighted Regression. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare