A general framework for estimation and inference of geographically weighted regression models: 2. Spatial association and model specific tests.

A development that casts geographically weighted regression (GWR) as a model of locational heterogeneity is presented in order to formulate a general model of spatial effects that includes as special cases GWR with a spatially lagged objective variable and GWR with spatial error autocorrelation. It...

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Bibliographic Details

Published in:	Environment & Planning A Vol. 34; no. 5; pp. 883 - 905
Main Authors:	Páez, Antonio, Uchida, Takashi, Miyamoto, Kazuaki
Format:	Article
Published:	Pion Limited May 2002
Subjects:	Spatial analysis (Statistics) Geography > Methodology Geography > Statistical methods Regression analysis
Online Access:	View this record in EBSCOhost