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Creating Open Source Geodemographic Classifications for Higher Education Applications

Singleton, AD; Longley, PA; (2008) Creating Open Source Geodemographic Classifications for Higher Education Applications. (CASA Working Paper Series 134). Centre for Advanced Spatial Analysis: London. Green open access

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Abstract

This paper explores the use of geodemographic classifications to investigate the social, economic and spatial dimensions of participation in higher education. Education is a public service that confers very significant and tangible benefits upon receiving individuals: as such, we argue that understanding the geodemography of educational opportunity requires an application-specific classification, that exploits under-used educational data sources. We develop a classification for the UK higher education sector, and apply it to the Gospel Oak area of London. We discuss the wider merits of sector specific applications of geodemographics, with particular reference to issues of public service provision.

Type: Working / discussion paper
Title: Creating Open Source Geodemographic Classifications for Higher Education Applications
Open access status: An open access version is available from UCL Discovery
UCL classification: UCL > School of BEAMS > Faculty of the Built Environment
UCL > School of BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
UCL > School of Arts and Social Sciences > Faculty of Social and Historical Sciences
UCL > School of Arts and Social Sciences > Faculty of Social and Historical Sciences > Geography
URI: http://discovery.ucl.ac.uk/id/eprint/15186
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