MURAL - Maynooth University Research Archive Library



    Open Geodemographics: Classification of Small Areas, Ireland 2016


    Yazgi Walsh, Burcin, Brunsdon, Chris and Charlton, Martin (2021) Open Geodemographics: Classification of Small Areas, Ireland 2016. Applied Spatial Analysis and Policy, 14. pp. 51-79. ISSN 1874-4621

    [thumbnail of YazgiWalsh2021_Article_OpenGeodemographicsClassificat.pdf]
    Preview
    Text
    YazgiWalsh2021_Article_OpenGeodemographicsClassificat.pdf

    Download (4MB) | Preview

    Abstract

    Geodemographics is a tool to summarize the characteristics of spatial units based on socio-economic data. It has been used over several decades to classify the characteristics of areas based on the similarities in such data, generally working by identifying groups or clusters of similar areas. It has seen use in the academic and private sectors but mostly became popular by 1980s for market research purposes – this rise in use drew attention to many issues that needed to be addressed in the literature. The purpose of this paper is to provide a geodemographic classification for the smallest scale administrative units in Ireland (Small Areas) based on the latest 2016 census population data. A further aim is to support reproducible research by following the methodology of an earlier study for the 2011 Census and to bring up the opportunity to compare the cluster results between the 2011 and 2016 census data. The comparison output provides useful insights for policy discussions in the Irish context. One of the other focal points of this study is to bring some clarity regarding some criticisms of geodemographics from an academic perspective. The paper also argues for the use of open data, open source software and supports open analysis.
    Item Type: Article
    Keywords: Geodemographics; Ireland; Open data; Open research;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI
    Item ID: 16344
    Identification Number: 10.1007/s12061-020-09343-6
    Depositing User: Prof. Chris Brunsdon
    Date Deposited: 22 Jul 2022 08:49
    Journal or Publication Title: Applied Spatial Analysis and Policy
    Publisher: Springer Verlag
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/16344
    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)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads