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Analyse Spatiale de Réseaux en Données de Panel×Analyse spatiale basée sur le réseau×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelRegression model
Année d'origine2000s–2010s1990s–2000s
Auteur d'origineDeveloped from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworksAtsuyuki Okabe and colleagues
TypePanel spatial regressionSpatial network model
Source fondatriceLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Okabe, 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 ↗
Aliaspanel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSAnetwork spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSA
Apparentées53
RésuméPanel Network-Based Spatial Analysis extends standard spatial econometric models to repeated-measures (panel) data by representing spatial dependence through network connectivity rather than simple geographic proximity. It captures how units connected in a network influence each other's outcomes over time, while controlling for unit-level and time-level fixed effects.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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  3. PUBLISHED

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ScholarGateComparer des méthodes: Panel Network-Based Spatial Analysis · Network-Based Spatial Analysis. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare