Salīdzināt metodes

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Lokālā tīklā balstīta telpiskā analīze×Tīklā balstīta telpiskā analīze×
NozareTelpiskā analīzeTelpiskā analīze
SaimeRegression modelRegression model
Izcelsmes gads1990s–2000s1990s–2000s
AutorsOkabe, Sugihara, and spatial network analysis communityAtsuyuki Okabe and colleagues
TipsSpatial network analysisSpatial network model
PirmavotsOkabe, A., & Sugihara, K. (2012). Spatial Analysis Along Networks: Statistical and Computational Methods. Wiley. ISBN: 978-0470770818Okabe, 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 ↗
Citi nosaukumilocal network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysisnetwork spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSA
Saistītās53
KopsavilkumsLocal 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.Network-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.
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ScholarGateSalīdzināt metodes: Local Network-Based Spatial Analysis · Network-Based Spatial Analysis. Izgūts 2026-06-15 no https://scholargate.app/lv/compare