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Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Spatial Durbin Model (SDM)× | Geografiskt viktad regression (GWR)× | |
|---|---|---|
| Ämnesområde | Rumslig analys | Rumslig analys |
| Familj | Regression model | Regression model |
| Ursprungsår≠ | 2009 | 2002 |
| Upphovsperson≠ | LeSage & Pace | Fotheringham, Brunsdon & Charlton |
| Typ≠ | Spatial regression model | Local spatial regression |
| Ursprungskälla≠ | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 |
| Alias≠ | SDM, spatial mixed model, uzamsal durbin modeli | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) |
| Närliggande | 5 | 5 |
| Sammanfattning≠ | The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. | 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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