Month: August 2009

I have just finished at the RGS conference which was hosted in the fantastic city of Manchester. I thought the line up this year was very good indeed and there were lots of interesting talks. The UCL talks from CASA comprised the QMRG session I organis…

Although viewed by business and commerce as successful solutions, geodemographic profiling of neighbourhoods has attracted wide-ranging criticism in the academic literature. This paper addresses some specific concerns that arise because the derivation of classifications is rarely transparent and open to scrutiny or challenge. The substantive focus of the research reported in this paper is a nationwide geodemographic classification of how people engage with new information and communication technologies (ICTs). In response to the critique of geodemographics as a ‘black box’ technology, we describe how the classification was opened up to public scrutiny and how we conducted a major consultation exercise into the reliability of its results. We assess the message of the 50,000+ searches and 3952 responses collected during the consultation exercise, in terms of possible systematic errors in the shape and detail of the classification. Unusually for Internet-based surveys, we also investigate the likely reliability of the response information received and identify ways in which the outcome of consultation might be used to improve the classification. We believe that this is the first-ever large-scale consultation survey of the validity and remit of a geodemographic classification and that it may have wider implications for the creation of geodemographic classifications.

Longley, P.A., and A.D. Singleton. 2009. “Classification Through Consultation: Public Views Of The Geography Of The E-Society.” International Journal of Geographical Information Science 23 (6): 737–763. http://dx.doi.org/10.1080/13658810701704652.

This paper explores the use of geodemographic classifications to investigate the social, economic and spatial dimensions of participation in Higher Education (HE). 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 and enumerate the advantages of bespoke classifications for applications in public service provision.

Singleton, A.D., and P.A. Longley. 2009. “Creating Open Source Geodemographics – Refining a National Classification of Census Output Areas for Applications in Higher Education.” Papers in Regional Science 88 (3): 643–666. http://dx.doi.org/10.1111/j.1435-5957.2008.00197.x.