A general framework for estimation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity.
The writers argue that placing geographically weighted regression (GWR) within a statistical context as a spatial model of error variance heterogeneity, or what might be called locational heterogeneity, solves the problems associated with developing GWR along the lines of local regression and smooth...
| Publicado en: | Environment & Planning A Vol. 34; no. 4; pp. 733 - 755 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Pion Limited
April 2002
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |