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Локальный пространственный анализ на основе сетей×Регрессия с географически взвешенными коэффициентами (GWR)×
ОбластьПространственный анализПространственный анализ
СемействоRegression modelRegression model
Год появления1990s–2000s2002
Автор методаOkabe, Sugihara, and spatial network analysis communityFotheringham, Brunsdon & Charlton
ТипSpatial network analysisLocal spatial regression
Основополагающий источникOkabe, 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
Другие названияlocal network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysisGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Связанные55
СводкаLocal 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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 1 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Local Network-Based Spatial Analysis · Geographically Weighted Regression. Получено 2026-06-17 из https://scholargate.app/ru/compare