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
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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 |
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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 |
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