Advertisement

Google Maps Mashups for Local Public Health Service Planning

  • Maurizio Gibin
  • Pablo Mateos
  • Jakob Petersen
  • Phil Atkinson
Part of the The GeoJournal Library book series (GEJL, volume 95)

One of the key challenges in public health service planning is to reduce health inequalities at the local level. This often entails understanding the detailed profile of a local area's population and ensuring equal access to health services. Accessibility to health services, personal behaviour and lifestyles, community influences, living and working conditions, educational attainment and health literacy can all impact upon an individual's health, and their aggregated effect is clearly manifested at neighbourhood level.

Keywords

Geographical Information System Tool Planning Support System Small Area Level Keyhole Markup Language Geodemographic Classification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aspinall, P.J. (2002) Collective terminology to describe the minority ethnic population: the persistence of confusion and ambiguity in usage, Sociology 36(4): 803–816.CrossRefGoogle Scholar
  2. Birkin, M. and Clarke, G. (1998) GIS, Geo-demographics, and spatial modeling in the UK financial service industry, Journal of Housing Research, 9(1): 87–111.Google Scholar
  3. Buckley, A. (2004) Geographic visualization, In Mcmaster, R.B. and Usery, E.L.A. (eds.) Research Agenda for Geographic Information Science, Crc Press, Boca Raton, Fl, pp. 270–296.Google Scholar
  4. Department of Health (2004) Improving Chronic Disease Management, Department of Health, London.Google Scholar
  5. Department of Health. (2006) Our Health, Our Care, Our Say: A New Direction for Community Services, Department of Health, London.Google Scholar
  6. Dodge, M., McDerby M. and Turner, M. (2006) Geographic Visualization across the Social Sciences, NCeSS seminar. University of Manchester, 12–13 June. Available at: www.ncess.ac.uk/events/ASW/visualisation/ (Accessed 10 August 2007).
  7. Fairhurst, R. (2005) Next-generation web mapping, Society of Cartographers Bulletin, 39: 57–61.Google Scholar
  8. Harrower, M.A. and Brewer, C. (2003) ColorBrewer.org: an online tool for selecting color schemes for maps, The Cartographic Journal, 40(1): 27–37.CrossRefGoogle Scholar
  9. Gibin, M., Longley, P. and Atkinson, P. (2007) Kernel density estimation and percent volume contours in general practice catchment area analysis in urban areas, Paper presented at Geographical Information Science Research UK (GISRUK) 2007, National University of Ireland, Maynooth.Google Scholar
  10. Longley, P.A. (2005) A renaissance of geo-demographics for public service delivery, Progress in Human Geography, 29: 57–63.CrossRefGoogle Scholar
  11. Longley, P.A., Chao Li and Webber, R. (2006) The UK Geography of the E-Society: A National Classification, CASA Working Paper 111 www.casa.ucl.ac.uk/publications/workingPaperDetail.asp?ID=111 (Accessed 20 January 2008).
  12. Maguire, D.J. and Longley, P.A. (2005) The emergence of geoportals and their role in spatial data infrastructures, Computers, Environment and Urban Systems, 29(1): 3–14.Google Scholar
  13. Mateos, P. (2007) A review of name-based ethnicity classification methods and their potential in population studies, Population Space and Place, 13(4): 243–263.CrossRefGoogle Scholar
  14. Mateos, P., Webber, R. and Longley, P.A. (2007) The cultural, ethnic and linguistic classification of populations and neighbourhoods using personal names, CASA Working Paper 116, Rep. ISSN 1467–1298, Centre for Advanced Spatial Analysis, University College London, London.Google Scholar
  15. Monmonier, M. (2007) Cartography: the multidisciplinary pluralism of cartographic art, geospatial technology, and empirical scholarship, Progress in Human Geography, 31(3): 371–379.CrossRefGoogle Scholar
  16. Nanchahal, K., Mangtani, P., Alston, M. and dos Santos Silva, I. (2001) Development and validation of a computerized South Asian names and group recognition algorithm (SANGRA) for use in British Health-related studies, Journal of Public Health Medicine, 23(4): 278–285.CrossRefGoogle Scholar
  17. Petersen, J., Ashby, D. I. and Atkinson, P. (2007) Health applications for open geo-demographics, Paper presented at Geographical Information Science Research UK 2007, National University of Ireland, Maynooth.Google Scholar
  18. Vickers, D. and Rees, P. (2007) Creating the UK National Statistics 2001 output area classification, Journal of the Royal Statistical Society: Series A Statistics in Society 170(2): 379–403.Google Scholar
  19. Tufte, E. (1990) Envisioning Information, Graphic Press, Cheshire.Google Scholar

Additional Reading

  1. Gibin, M., Singleton, A. and Longley, P. (2007) Exploratory cartographic visualisation of health and higher education through Google Maps API, Paper presented at Geocomputation 2007, National University of Ireland, Maynooth.Google Scholar
  2. Hudson-Smith, A., Milton, R., Batty, M., Gibin, M., Longley, P. and Singleton, P. (2007) Public Domain GIS, Mapping & Imaging Using Web-based Services, Centre for Advanced Spatial Analysis Working Paper 120, University College London, London. Available at: www.casa.ucl.ac.uk/publications/workingPaperDetail.asp?ID=120 (Accessed 31 December 2007).

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Maurizio Gibin
    • 1
  • Pablo Mateos
    • 2
  • Jakob Petersen
    • 2
    • 3
  • Phil Atkinson
    • 3
  1. 1.School of GeographyBirkbeck College, University of LondonLondonUK
  2. 2.Department of Geography and Centre for Advanced Spatial AnalysisUniversity College LondonLondonUK
  3. 3.Southwark Primary Care TrustLondonUK

Personalised recommendations