MURAL - Maynooth University Research Archive Library



    Geographically weighted summary statistics — a framework for localised exploratory data analysis


    Brunsdon, Chris and Fotheringham, Stewart and Charlton, Martin (2002) Geographically weighted summary statistics — a framework for localised exploratory data analysis. Computers, Environment and Urban Systems, 26. pp. 501-524. ISSN 0198-9715

    [img]
    Preview
    Download (1MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Geographical kernel weighting is proposed as a method for deriving local summary statistics from geographically weighted point data. These local statistics are then used to visualise geographical variation in the statistical distribution of variables of interest. Univariate and bivariate summary statistics are considered, for both moment-based and order-based approaches. Several aspects of visualisation are considered. Finally, an example based on house price data is presented.

    Item Type: Article
    Keywords: Geographical kernel weighting; Localised exploratory data analysis;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5878
    Depositing User: Martin Charlton
    Date Deposited: 19 Feb 2015 14:42
    Journal or Publication Title: Computers, Environment and Urban Systems
    Publisher: Elsevier
    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

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads