Brunsdon, Chris and Charlton, Martin and Harris, Paul (2012) Living with Collinearity in Local Regression Models. In: Accuracy 2012 - 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 10th - 13th July, 2012, Florianópolis, SC, Brazil.

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Abstract

We investigate the issue of collinearity in data when using Geographically Weighted Regression to explore spatial variation in data sets – and show how the ideas of condition numbers and variance inflation factors may be `localised’ to detect and respond to problems caused by this phenomenon.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Geographically Weighted Regression; Collinearity; Variance Inflation Factor; Condition Number; Model Diagnostics;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	5755
Depositing User:	Martin Charlton
Date Deposited:	02 Feb 2015 16:38
Refereed:	Yes
URI:	Organisation
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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