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    Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics


    Demsar, Urska and Fotheringham, Stewart and Charlton, Martin (2008) Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics. Information Visualization, 7. pp. 181-197. ISSN 1473-8724

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    Abstract

    The paper examines the potential for combining a spatial statistical methodology – Geographically Weighted Regression (GWR) – with geovisual analytical exploration to help understand complex spatio-temporal processes. This is done by applying the combined statistical – exploratory methodology to a simulated data set in which the behaviour of regression parameters was controlled across space and time. A variety of complex spatio-temporal processes was captured through space-time (i.e. as spatio-temporal) varying parameters whose values were known. The task was to see if the proposed methodology could uncover these complex processes from the data alone. The results of the experiment confirm that the combined methodology can successfully identify spatio-temporal patterns in the local GWR parameter estimates that correspond to the controlled behaviour of the original parameters.

    Item Type: Article
    Keywords: Geographically Weighted Regression (GWR); Geovisual Analytics; visual data exploration; spatio-temporal dynamics; spatio-temporal patterns; spatio-temporal processes;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5812
    Identification Number: https://doi.org/10.1057/palgrave.ivs.9500187
    Depositing User: Martin Charlton
    Date Deposited: 10 Feb 2015 16:23
    Journal or Publication Title: Information Visualization
    Publisher: Palgrave Macmillan
    Refereed: Yes
    URI:

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