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    Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis


    Dykes, Jason and Brunsdon, Chris (2007) Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis. IEEE Transactions on Visualization and Computer Graphics, 13 (6). pp. 1161-1168. ISSN 1941-0506

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    Abstract

    We introduce a series of geographically weighted (GW) interactive graphics, or geowigs , and use them to explore spatial relationships at a range of scales. We visually encode information about geographic and statistical proximity and varia tion in novel ways through gw-choropleth maps , multivariate gw-boxplots , gw-shading and scalograms . The new graphic types reveal information about GW statistics at several scales concurrently. We impement these views in prototype software containing dynami c links and GW interactions that encourage exploration and refine them to consider directional geographies. An informal evaluatio n uses interactive GW techniques to consider Guerry’s dataset of 'moral statistics', casting doubt on correlations originally pro posed through visual analysis, revealing new local anomalies and suggesting multivariate geographic relationships. Few attempts at visually synthesising geography with multivariate statistical values at multiple scales have been reported. The geowigs proposed here provide informative representations of multivariate local variation, particularly when combined with interactions that coo rdinate views and result in gw-shading . We argue that they are widely applicable to area and point-based geographic data and provide a set of methods to support visual analysis using GW statistics through which the effects of geography can be explored at multiple sc ales.

    Item Type: Article
    Keywords: Geographical weighting; exploratory data analysis; scale; multivariate; directional; interaction; coordinated views;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 6140
    Depositing User: Prof. Chris Brunsdon
    Date Deposited: 22 May 2015 09:11
    Journal or Publication Title: IEEE Transactions on Visualization and Computer Graphics
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Refereed: Yes
    URI:

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