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A family of geographically weighted regression models
Abstract/Sommario:
Book cover
Advances in Spatial Econometrics pp 241–264Cite as
A Family of Geographically Weighted Regression Models
James P. LeSage
Chapter
977 Accesses
44 Citations
Part of the Advances in Spatial Science book series (ADVSPATIAL)
Abstract
A Bayesian approach to locally linear regression methods introduced in McMillen (1996) and labeled geographically weighted regressions (GWR) in Brunsdon et al. (1996) is set forth in this chapter. The main contribution of the GWR me ...; [leggi tutto]
Advances in Spatial Econometrics pp 241–264Cite as
A Family of Geographically Weighted Regression Models
James P. LeSage
Chapter
977 Accesses
44 Citations
Part of the Advances in Spatial Science book series (ADVSPATIAL)
Abstract
A Bayesian approach to locally linear regression methods introduced in McMillen (1996) and labeled geographically weighted regressions (GWR) in Brunsdon et al. (1996) is set forth in this chapter. The main contribution of the GWR me ...; [leggi tutto]
| Campo | Valore |
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| Descrizione | A family of geographically weighted regression models / James P. LeSage. - P. 241-264 |
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| ID scheda | 56794 |
| Permalink | https://sbnlo2.infoteca.it/?ids=56794 |