Inicio  /  TECHNOMETRICS  /  Vol: 48 Núm: 1 Par: 0 (2006)  /  Artículo
ARTÍCULO
TITULO

Geographically Weighted Regression, by A. Stewart Fotheringham, Chris Brunsdon and Martin Charlton

Ziegel    
Eric R.    

Resumen

No disponible

 Artículos similares

       
 
Zongyao Sha and Ruren Li    
The study assessed the reduced carbon uptake (RCU) due to human activities and highlighted the patterns of the impact on RCU from human-related driving forces so that optimized grassland management policies could be implemented to achieve more carbon seq... ver más
Revista: Applied Sciences

 
Lianfa Zhang, Jianquan Cheng, Cheng Jin and Hong Zhou    
In this paper, the innovative use of a multiscale flow-focused geographically weighted regression (MFGWR) approach to model the spatial interaction of expressway transport flow is critically evaluated. The study demonstrates varied scale effects between ... ver más
Revista: Applied Sciences

 
Ning Wang, Zhihong Yao, Wanqing Liu, Xizhi Lv and Mengdie Ma    
Runoff erosion capacity has significant effects on the spatial distribution of soil erosion and soil losses. But few studies have been conducted to evaluate these effects in the Loess Plateau. In this study, an adjusted SWAT model was used to simulate th... ver más
Revista: Water

 
Chi-Hong (Patrick) Tsai, Corinne Mulley, Matthew Burke, Barbara Yen    
Property value effects of linear river ferries that service multiple stops in cities are under-explored. The Brisbane CityCat, CityHopper, and CityFerries combine to form a ferry system with 24 terminals. A geographically weighted regression (GWR) approa... ver más

 
Kyoung-Jin An, Sang-Woo Lee, Soon-Jin Hwang, Se-Rin Park, Sun-Ah Hwang     Pág. 1 - 21
This study examined the non-stationary relationship between the ecological condition of streams and the proportions of forest and developed land in watersheds using geographically-weighted regression (GWR). Most previous studies have adopted the ordinary... ver más
Revista: Water