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    Living with Collinearity in Local Regression Models


    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:

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