Local linear estimation of spatially varying coefficient models: an improvement on the geographically weighted regression technique.

The writers propose a local linear-based geographically weight regression (GWR) for the spatially varying coefficient models. They explain that in the proposed method the coefficients are locally expanded as linear functions of the spatial coordinates and then estimated by the weighted least-square...

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Bibliographic Details

Published in:	Environment & Planning A Vol. 40; no. 4; pp. 986 - 1006
Main Authors:	Wang, Ning, Mei, Chang-Lin, Yan, Xiao-Dong
Format:	Article
Published:	Pion Limited April 2008
Subjects:	Geography > Methodology Geography > Statistical methods Regression analysis
Online Access:	View this record in EBSCOhost