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Module Reading List

Geodemographics and Database Marketing (WUN), 2019/20
Dr. Luke Burns
Tutor information is taken from the Module Catalogue

GEOG5191M Geodemographics and Database Marketing (WUN)

January-March 2018.

Dr Luke Burns

NOTE this Reading List is for reference only, certain readings may no longer be available. Key readings are listed in the 'Recommended' section below and throughout the unit notes/announcements.

Burns, L. 2017. Creating a Health/Deprivation Geodemographic Classification System using K-Means Clustering Methods, SAGE, London. (Copy available in Minerva module area).

Gibson, P. & See, L. 2006, Using Geodemographics and GIS for Sustainable Development. In Campagna, M. GIS for Sustainable Development, Taylor and Francis, London.

Harris, R., Sleight, P. and Webber, R., 2005. Geodemographics, GIS, and neighbourhood targeting, Wiley, Chichester.

Leventhal, B. 2016. Geodemographics for marketers : using location analysis for research and marketing, Kogan Page, London.

Webber, R. & Burrows, R. 2018. The predictive postcode : the geodemographic classification of british society ISBN: 9781526402349 pbk, SAGE, London.    

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Other Sources

This is a list of other references that may be useful (note not all may be available):

Bell, A, Dickson, S, Freebairn B and Haslingden R. 2008. Geodemographic Futures, Market Research Society Seminar, March 2008. Website accessed 06/12/2008 at:  

Birkin, M., Clarke, G. and Clarke, M. 2002. Retail Geography and intelligent network planning , John Wiley, Chichester.

Brown, P. 1991. Exploring geodemographics. In: Masser, I. and Blakemore, M. (eds) Handling geographical information : methodology and potential applications , Longman Group UK Limited, Avon p221-258.

Burns L., See, L., Heppenstall, A. and Birkin M. 2017, Developing an Individual-Level Geodemographic ClassificationApplied Spatial Analysis and Policydoi: 10.1007/s12061-017-9233-7

Burrow, R., Ellison, N. and Woods, B. 2005. Neighbourhoods on the net : the nature and impact of internet-based neighbourhood information systems . Bristol: The Policy Press (or view online at s )

Charlton, M., Openshaw, S. and Wymer, C., 1985: Some new classifications of census enumeration districts in Britain: a poor man’s ACORN. Journal of Economic & Social Measurement, 13, 69-96.

Clarke. G. 1996. Microsimulation for urban and regional policy analysis , Pion, London.

Clarke, R. 1988. Information technology and dataveillance. Communications of the ACM., 31:499.

Curry, M.R. 1996. Data protection and Intellectual Property: Information Systems and the Americanization of the New Europe., Environment and planning. A : environment and planning.. 28:891-908.

Curry, M.R. 1997. The digital individual and the private realm, Annals of the Association of American Geographers. , v. 87, 681-699.

Furness, P. 2008. Real Time Geodemographics – New Services and Business Opportunities from Analysing People in Time and Space, Market Research Society Seminar March 2008. Website accessed 06/12/2008 at:

Gibson, P. 2001. Spatial Analysis of Automotive Market Anomalies, unpublished MA thesis, School of Geography, University of Leeds.

Gittus, E. 1964. The structure of urban areas: a new approach, The town planning review.. , v.35, 5-20.

Goss, J. 1995. We know who you are and we know where you live: the instrumental rationality of geodemographics systems, Economic geography.. , v. 71, 171-198.

Johnson, M. 1997. The application of geodemographics to retailing: meeting the needs of the catchment, Journal of the market research society.. , 39, p201-224.

Kelly, F. 1969. Classification of urban areas, Quarterly Bulletin of the Research Intelligence Unit, v.9, 13-19. Greater London Council, London.

Liepnik, M.R and Mehta, S.S. 2006. Uncertainty, Misinterpretation and Misuse of U.S. Geo-demographic Attribute Data, Sam Houston State University. Document accessed 06/12/2008 at: f

Longley, P. and Clarke, G. 1995. GIS for business and service planning . GeoInformation, Cambridge.

McCartney, S. 2008. Geodemographics and Privacy, Market Research Society Seminar March 2008. Website accessed 06/12/2008 at: 1.pdf  

Morris, C. 1993. Lifestyle data. In: Leventhal, B., Moy, C. and Griffin, J. (eds.) An introductory guide to the 1991 census The Market Research Society/NTC Publications.

Moser, C.A. and Scott, W. 1961. British towns : a statistical study of their social and economic differences.. Oliver & Boyd, Edinburgh.

Openshaw, S. 1995. Census users' handbook , Longmans, London.

Openshaw, S. 1998. Building automated Geographical Analysis and Exploration Machines. In Geocomputation : a primer , Longley, P.A., Brooks, S.M., McDonnell, B. (eds.), Macmillan Wiley, Chichester, pp.95-115.

Openshaw, S. 1989. Making geodemographics more sophisticated, Journal of the market research society. , 31, p111-131.

Openshaw, S. 2000. GeoComputation. In: Openshaw, S., Abrahart, R.J. (eds.) Geocomputation , Taylor and Francis, London, pp.1-31

Openshaw, S. and Blake, M. 1995. Geographic segmentation systems for screening health data, Journal of epidemiology and community health.. , 49. S34-S38

Openshaw, S., Craft, A. 1991. Using Geographical Analysis Machines to search for evidence of clusters and clustering in childhood leukaemia and non-Hodgkin Lymphomas in Britain. In: Draper, G. (ed.) The geographical epidemiology of childhood leukaemia and non-Hodgkin lymphomas in Great Britain, 1966-83 , HMSO, London, pp.89-103.

Openshaw, S. Openshaw. C. 1997. Artificial intelligence in geography , John Wiley, London.

Openshaw, S. and Wymer, C. 1991. A neural net classifier system for handling census data. In: F. Murtagh (ed.) Proceedings of the Neural Networks for Statistical and Economic Data Conference. Munotec Systems, Dublin.

Openshaw, S., Blake, M., and Wymer, C. 1995. Using neurocomputing methods to classify Britain's residential areas. In Fisher, P. (ed.) Innovations in GIS 2 : selected papers from the Second National Conference on GIS Research UK , Taylor & Francis, London.

Openshaw, S. and Wymer, C. 1995. Classification and regionalisation. In: Openshaw, S. (ed) Census users' handbook , Longmans, London.

Openshaw, S., Fischer, M.M., Benwell, G., Macmillan, B. 2000. GeoComputation research agendas and futures. In: Openshaw, S., Abrahart, R.J. (eds.) Geocomputation , Taylor and Francis, London, pp.379-400.

Orcutt,G., Merz, J., Quinke, H. 1986. Microanalytic simulation models to support social and financial policy , North Holland, Amsterdam.

Park, R.E., Burgess, E.W. and McKenzie, R.D. 1925. The city . University of Chicago Press, Chicago.

Phillips, D.J and Curry, M.R. 2008. Privacy and the Phenetic Urge: geodemographics and the Changing Spatiality of Local Practice, accessed 05/12/2008 at f  

Rees, P.H. 1972. Problems of classifying sub-areas within cities. In Berry, B.J.L. and Smith, K.B. (eds) City classification handbook : methods and applications . Wiley, London, pp. 265-330.

See, L. and Openshaw, S. 2001. Fuzzy geodemographic targeting. In: Clarke, G. and Madden, M. (eds) Regional science in business Springer, Berlin, pp.269-282

Shevky, E. and Williams, M. 1949. The social areas of Los Angeles : analysis and typology University of California Press, Los Angeles.

Sleight, P. 2004. Targeting Customers: How to Use Geodemographic and Lifestyle Data in Your Business (3rd edition). Henley-upon-Thames: World Advertising Research Center.

Thomas, R. 2006. Report on the Surveillance Society, Information Commissioner by the Surveillance Studies Network, September 2006, assessed 06/12/2006 at:

Turton, I., Openshaw, S. 2001. Methods for automating the geographical analysis of crime incident data. In: Hirschfield, A. and Bowers, K. (eds) Mapping and analysing crime data : lessons from research and practice , Taylor and Francis, London, pp.11-26

Voas, D. and Williamson, P., 2001: The diversity of diversity: a critique of geodemographic classification. Area.. 33, 63-76.

Weiss, M. 2000. The clustered world : how we live, what we buy, and what it all means about who we are . New York: Little, Brown and Company.

Webber, R. 2004. Designing geodemographic classifications to meet contemporary business needs, Journal of interactive marketing.. , 5 (3), 219-237

Williamson, P., Birkin, M., Rees, P.H. 1998. The estimation of population microdata using data from small area statistics and samples of anonymised records, Environment and planning. A : environment and planning.. , v.30, 785-816.

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Working papers

Blake, M. and Openshaw, S. Selecting variables for small area classifications of 1991 UK census data, Working Paper 95-2 , School of Geography, Leeds University, Leeds. LS2 9JT

Vickers, D., Rees, P. and Birkin, M. A new classification of UK local authorities using 2001 census key statistics, Working Paper 03-3 , School of Geography, Leeds University, Leeds. LS2 9JT

Vickers, D., Rees, P. and Birkin, M. Creating the national classification of census output areas : data, methods and results, Working Paper 05-2 , School of Geography, Leeds University, Leeds. LS2 9JT

This list was last updated on 27/03/2018