MURAL - Maynooth University Research Archive Library



    Employing a geovisual exploratory post-analysis for interpretation of results of a spatial statistical method


    Demsar, Urska and Fotheringham, Stewart and Charlton, Martin (2007) Employing a geovisual exploratory post-analysis for interpretation of results of a spatial statistical method. In: “From geovisualization toward geovisual analytics”, meeting of the ICA Commission on Visualization and Virtual Environments, August 2007, Helsinki, Finland.

    [img]
    Preview
    Download (711kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Traditional regression analysis describes a modelled relationship between a dependent variable and a set of independent variables. When applied to spatial data, the regression analysis often assumes that the modelled relationship is stationary over space and produces a global model that is supposed to describe the relationship at every location in the study area. This can be misleading, as the relationships in spatial data are often intrinsically different across space. One of the spatial statistical methods that attempts to solve this problem and explain local variation in complex relationships is Geographically Weighted Regression – GWR (Fotheringham et al. 2000).

    Item Type: Conference or Workshop Item (Paper)
    Keywords: geovisual exploratory post-analysis; interpretation of results; spatial statistical method;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5820
    Depositing User: Martin Charlton
    Date Deposited: 11 Feb 2015 14:46
    Refereed: Yes
    URI:

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year