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| Τοπικό Μοντέλο Χωρικού Durbin× | Παλινδρόμηση Γεωγραφικά Σταθμισμένη (GWR)× | |
|---|---|---|
| Πεδίο | Χωρική Ανάλυση | Χωρική Ανάλυση |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 2002–2009 | 2002 |
| Δημιουργός≠ | LeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR framework | Fotheringham, Brunsdon & Charlton |
| Τύπος≠ | Spatially varying regression model | Local spatial regression |
| Θεμελιώδης πηγή≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 |
| Εναλλακτικές ονομασίες | local SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin model | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | The Local Spatial Durbin Model (Local SDM) extends the global Spatial Durbin Model by allowing regression coefficients to vary across geographic space. It combines the SDM's ability to capture both spatial lag of the dependent variable and spatial lags of covariates with a geographically weighted estimation framework, producing location-specific direct and indirect spillover effects. | 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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