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    Combining Geovisual Analytics with Spatial Statistics: the Example of Geographically Weighted Regression


    Demšar, Urška and Fotheringham, Stewart and Charlton, Martin (2008) Combining Geovisual Analytics with Spatial Statistics: the Example of Geographically Weighted Regression. The Cartographic Journal, 45 (3). pp. 182-192. ISSN 0008-7041

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    Abstract

    An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geographically Weighted Regression (GWR) – using a geovisual exploratory approach. The GWR parameter space is treated as a multivariate dataset and explored in a geovisual exploratory environment with the goal to identify spatial and multivariate patterns that describe the spatial variability of the parameters and underlying spatial processes.

    Item Type: Article
    Keywords: Statistics; Geospatial data; Regressions Analysis; Multivariate Analysis; Spatial Analysis;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5777
    Identification Number: https://doi.org/10.1179/000870408X311378
    Depositing User: Martin Charlton
    Date Deposited: 04 Feb 2015 15:45
    Journal or Publication Title: The Cartographic Journal
    Publisher: The British Cartographic Society
    Refereed: Yes
    URI:
    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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