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...

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Bibliographic Details

Published in:	Environment & Planning A Vol. 34; no. 4; pp. 733 - 755
Main Authors:	Páez, Antonio, Uchida, Takashi, Miyamoto, Kazuaki
Format:	Article
Published:	Pion Limited April 2002
Subjects:	Regression analysis Geography > Methodology Geography > Statistical methods
Online Access:	View this record in EBSCOhost