Leeds University Library

Module Reading List

Geodemographics and Database Marketing (WUN), 2017/18
Dr. Luke Burns
Tutor information is taken from the Module Catalogue

GEOG5191M Geodemographics and Database Marketing (WUN)

January-March 2017.

Dr Luke Burns L.P.Burns@leeds.ac.uk

Burns, L. 2017. Creating a Health/Deprivation Geodemographic Classification System using K-Means Clustering Methods , SAGE, London (coming soon). Please contact Dr. Luke Burns for a pre-publication copy of this article.

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 Chichester: Wiley.

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

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Other Sources

This is a list of other references that are used or referred to in the units.

Bell, A, Dickson, S, Freebairn B and Haslingden R. 2008. Geodemographic Futures, Market Research Society Seminar , March 2008. Website accessed 06/12/2008 at: https://www.mrs.org.uk/networking/cgg/downloads/geodems/Geodemographic%20Futures.pd%20f

Birkin, M., Clarke, G., 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.

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 http://www.jrf.org.uk/publications/internet-based-neighbourhood-information-systems-and-their-consequence 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: http://www.mrs.org.uk/networking/cgg/downloads/geodems/Real%20Time%20Geodemographics.pd f

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. Available as an Online Course reading in the VLE

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: http://gis.esri.com/library/userconf/proc06/papers/papers/pap_1723.pd 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: http://www.mrs.org.uk/networking/cgg/downloads/geodems/Personal%20information%20and%20geodemographics 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. Available as an Online Course reading in the VLE

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 http://www.geog.ucla.edu/~curry/Phillips-Curry-GDP.pd 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: http://www.ico.gov.uk/upload/documents/library/data_protection/practical_application/surveillance_society_full_rep ort_2006.pdf

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 20/12/2016