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Analyse spatiale locale basée sur les réseaux×Régression Pondérée Géographiquement (GWR)×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelRegression model
Année d'origine1990s–2000s2002
Auteur d'origineOkabe, Sugihara, and spatial network analysis communityFotheringham, Brunsdon & Charlton
TypeSpatial network analysisLocal spatial regression
Source fondatriceOkabe, A., & Sugihara, K. (2012). Spatial Analysis Along Networks: Statistical and Computational Methods. Wiley. ISBN: 978-0470770818Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Aliaslocal network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysisGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Apparentées55
RésuméLocal Network-Based Spatial Analysis computes spatial statistics and network measures — such as accessibility, centrality, and density — within restricted local neighborhoods of a spatial network, revealing how connectivity and flow vary across fine geographic scales rather than globally across the entire network.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.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Local Network-Based Spatial Analysis · Geographically Weighted Regression. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare