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    A Comparison of Random Coefficient Modelling and Geographically Weighted Regression for Spatially Non-stationary Regression Problems


    Brunsdon, Chris and Aitkin, Murray and Fotheringham, Stewart and Charlton, Martin (1999) A Comparison of Random Coefficient Modelling and Geographically Weighted Regression for Spatially Non-stationary Regression Problems. Geographical and Environmental Modelling, 3 (1). pp. 47-62. ISSN 1361-5939

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    Abstract

    Compares random coefficient modelling (RCM) and geographically weighted regression for spatially non-stationary regression. Relationship between limiting long-term illness (LLTI) and social factors; Variants of RCM; Factors contributing to the prevalence of LLTI.

    Item Type: Article
    Keywords: Random Coefficient Modelling; Geographically Weighted Regression; Spatially Non-stationary Regression;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5991
    Depositing User: Martin Charlton
    Date Deposited: 26 Mar 2015 12:15
    Journal or Publication Title: Geographical and Environmental Modelling
    Publisher: Taylor & Francis
    Refereed: Yes
    URI:

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