Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Modeli Multiscale Geographically Weighted Regression (MGWR)× | Regresioni Gjeografikisht i Peshuar (GWR)× | |
|---|---|---|
| Fusha | Analiza hapësinore | Analiza hapësinore |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 2017 | 2002 |
| Krijuesi≠ | Fotheringham, Yang & Kang | Fotheringham, Brunsdon & Charlton |
| Lloji≠ | Spatially varying coefficient regression | Local spatial regression |
| Burimi themelues≠ | Fotheringham, A. S., Yang, W. & Kang, W. (2017). Multiscale Geographically Weighted Regression (MGWR). Annals of the American Association of Geographers, 107(6), 1247–1265. DOI ↗ | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 |
| Emërtime të tjera≠ | multiscale GWR, multi-scale geographically weighted regression, Çok Ölçekli Coğrafi Ağırlıklı Regresyon (MGWR) | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) |
| Të lidhura | 5 | 5 |
| Përmbledhja≠ | Multiscale Geographically Weighted Regression, introduced by Fotheringham, Yang and Kang in 2017, is a spatial regression model that lets each coefficient vary across space at its own spatial scale. It generalises Geographically Weighted Regression by giving every predictor its own bandwidth, so some relationships can act locally while others act almost globally. | 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. |
| ScholarGateSeti i të dhënave ↗ |
|
|