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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Analiza Hapësinore Bazuar në Rrjet×Regresioni Gjeografikisht i Peshuar (GWR)×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1990s–2000s2002
KrijuesiAtsuyuki Okabe and colleaguesFotheringham, Brunsdon & Charlton
LlojiSpatial network modelLocal spatial regression
Burimi themeluesOkabe, A., Satoh, T., Furuta, T., Sugihara, K., & Okano, K. (2006). Generalized network Voronoi diagrams: Concepts, computational methods, and applications. International Journal of Geographical Information Science, 22(9), 965–994. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Emërtime të tjeranetwork spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSAGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Të lidhura35
PërmbledhjaNetwork-based spatial analysis (NBSA) analyzes the distribution and interaction of spatial phenomena constrained to a network structure — such as roads, railways, or rivers — using network distance rather than straight-line (Euclidean) distance. It is the appropriate framework whenever movement, proximity, or risk is governed by the underlying network topology rather than open space.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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ScholarGateKrahasoni metodat: Network-Based Spatial Analysis · Geographically Weighted Regression. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare