Current and Future Research Dr Alex Singleton University College London www.alex-singleton.com 

Geodemographi cs and Widening Participation (Manchester ) Education and Admissions (UCAS / KTP) Neogeography / visualization/ outreach (SPLINT) Data integration, education and modeling (ESRC First Grant) 

All publication titles and abstracts - to July 2010 • Public Sector Geodemographics and GIS – Widening Access to Higher Education • Schools as containers for potential participants 

Richard Webber et al – CACI (ACORN) – Experian (Mosaic) Liverpool Area Study (1971) 

ONS Output Area Classification 

Participation in “HE” has increased 0 175,000 350,000 525,000 700,000 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 Applicants Accepts Universities & Polytechnic Colleges Merged (UCCA & PCAS) ADAR / UCAS SWAS / UCAS 

0% 25% 50% 75% 100% 2002 2003 2004 2005 2006 2007 2008 Higher managerial and professional o Lower managerial and professional oc Intermediate occupations Small employers and own account wo Lower supervisory and technical occu Semi-routine occupations Routine occupations 

0% 25% 50% 75% 100% 2002 2003 2004 2005 2006 2007 2008 Higher managerial and professional o Lower managerial and professional oc Intermediate occupations Small employers and own account wo Lower supervisory and technical occu Semi-routine occupations Routine occupations Unknown 

Who goes to university? Young Participation 2004 - UK 0 75 150 225 300 Blue Collar Communities City Living Countryside Prospering Suburbs Constrained by Circumstances Typical Traits Multicultural Young Participation 2004 - UK 0 75 150 225 300 Blue Coll City Livin Countrys Prosperin Constrain Typical T Multicultu Prospering Suburbs Countryside Aspiring Households 1 & 2 Asian Communities 3 Blue Collar Communities Constrained by Circumstances Singleton, A.D. (2010) Educational Opportunity: the Geography of Access to Higher Education. Farnham, Ashgate. 

Who goes to university? Geography Singleton, A.D. (2010) Educational Opportunity: the Geography of Access to Higher Education. Farnham, Ashgate. 

Who goes to university? Town and Country Planning Singleton, A.D. (2010) Educational Opportunity: the Geography of Access to Higher Education. Farnham, Ashgate. 

Who goes to university? Geology Singleton, A.D. (2010) Educational Opportunity: the Geography of Access to Higher Education. Farnham, Ashgate. 

Who goes to university? Sociology Singleton, A.D. (2010) Educational Opportunity: the Geography of Access to Higher Education. Farnham, Ashgate. 

Singleton, A., Longley, P.A. (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. One size fits all? 

K-means (100 runs of k-means on OAC data set for k=4) 0.46 0.47 0.48 0.49 0.5 0.51 0.52 0.53 0.54 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 103 109 115 121 127 133 139 145 Run RSQ Singleton, A., Longley, P.A. (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. ! Adnan, M., Longley, P.A., Singleton, A.D., Brunsdon, C. (2010) Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases. Transactions in GIS, 14(3),283 – 297 . One size fits all? 

Public consultation? Longley, P., Singleton, A.D. (2009) Classification through Consultation: Public Views of the Geography of the e-Society. International Journal of Geographical Information Science, 23(6), 737 – 763. 79,051 hits over the 13 day period 3,952 feedback responses 

Longley, P., Singleton, A.D. (2009) Classification through Consultation: Public Views of the Geography of the e-Society. International Journal of Geographical Information Science, 23(6), 737 – 763. Public consultation? 

National Pupil Database KS1 KS2 KS3 KS4 (GCSE) KS5 (A- Level) Universit y Policy Intervention Time Singleton, A.D. (2010) The Geodemographics of Educational Progression and their Implications for Widening Participation in Higher Education. Environment and Planning A. In Press. 

HE Progression Rate with 95% Confidence Intervals (%) 0 18 35 53 70 Wealthy mature professionals, large houses HE Progression Rates (KS4 – HE) Families and single parents, semis and terraces Struggling Families Wealthy Executives Singleton, A.D. (2010) The Geodemographics of Educational Progression and their Implications for Widening Participation in Higher Education. Environment and Planning A. In Press. 

“Those technical developments in web mapping technology and spatial data infrastructures that have significantly changed how users collect share and interact with geographic information on-line” School Catchment (www.educationprofiler.org) Singleton, A.D., Allen, R., Longley, P.A. (2010) Estimating Secondary School Catchment Areas and Visualizing the Geographic Equity of Choice. At Computers, Environment and Urban Systems. Singleton, A.D. (2010) Neogeography. In B Warf (eds.) Encyclopaedia of Geography. London: Sage, In Press. 

ESRC First Grant Singleton, A.D., Wilson, A., O’Brien, O. (2010) Integrating Geodemographics and Spatial Interaction Models for Widening Participation in Higher Education. At Journal of Geographical Systems. 

ESRC First Grant Singleton, A.D., Wilson, A., O’Brien, O. (2010) Integrating Geodemographics and Spatial Interaction Models for Widening Participation in Higher Education. At Journal of Geographical Systems. • Next Steps • Expand to Wales and Scotland • Refine the model • Account for international flows • Alternative classifications • Additional parameters (e.g. subjects) • Alternative distance matrix (travel) • New domains • Applying method in new areas • Urban Shrinkage 

>20 Flow Modularity – 13 Clusters Towards a language of socio-spatial interaction 

Singleton, A.D., Longley, P.A. (2009) Geodemographics, Visualization, and Social Networks in Applied Geography. Applied Geography. 29(3), 289-298. Towards a language of socio-spatial interaction 

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Challenges • Evaluation of “community” detection algorithms – Sensitivity to “noise” reduction • Methods of aggregation which account for node characteristics – Mixed model combining structure and attributes • Multilevel • School • University • Work Towards a language of socio-spatial interaction 

FSM Any Questions?