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Interactive spatial data analysis in medical geography

Author

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  • Gatrell, A. C.
  • Bailey, T. C.

Abstract

Interactive spatial data analysis involves the use of software environments that permit the visualization, exploration and, perhaps, modelling of geographically-referenced data. Such systems are of obvious value in epidemiological research, both of an environmental and geographical nature. There is an increasing number of such software environments available on a variety of platforms and operating systems. This paper considers the use of the proprietary Geographical Information System, ARC/INFO, in a spatial analysis context, showing how the spatial analytic tools that may be added to it can be exploited by geographical epidemiologists; such tools include those for modelling possible raised incidence of disease around suspected sources of pollution. The paper also reviews the use of systems such as S-Plus and XLISP-STAT, statistical programming environments to which spatial analysis functions or libraries may be added. The use of INFO-MAP, a system designed to aid in the teaching of interactive spatial data analysis, is also highlighted. The various software environments are illustrated with reference to examples concerned with: clustering of childhood leukaemia in part of Lancashire, England; Burkitt's lymphoma in Uganda; larynx cancer in Lancashire; and childhood mortality in Auckland, New Zealand.

Suggested Citation

  • Gatrell, A. C. & Bailey, T. C., 1996. "Interactive spatial data analysis in medical geography," Social Science & Medicine, Elsevier, vol. 42(6), pages 843-855, March.
    • Handle: RePEc:eee:socmed:v:42:y:1996:i:6:p:843-855
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    Cited by:

    1. Sohl, Terry & Sayler, Kristi, 2008. "Using the FORE-SCE model to project land-cover change in the southeastern United States," Ecological Modelling, Elsevier, vol. 219(1), pages 49-65.
    2. José Miguel Barrios & Willem W. Verstraeten & Piet Maes & Jean-Marie Aerts & Jamshid Farifteh & Pol Coppin, 2012. "Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases," IJERPH, MDPI, vol. 9(12), pages 1-19, November.
    3. Wang, Cheng & Wang, Gang & Guo, Ziru & Dai, Lingjun & Liu, Hongyu & Li, Yufeng & Chen, Hao & Zhao, Yongxiang & Zhang, Yanan & Cheng, Hai, 2020. "Effects of land-use change on the distribution of the wintering red-crowned crane (Grus japonensis) in the coastal area of northern Jiangsu Province, China," Land Use Policy, Elsevier, vol. 90(C).
    4. Eric Marcon & Florence Puech, 2009. "Generalizing Ripley's K function to inhomogeneous populations," Working Papers halshs-00372631, HAL.
    5. MaryAnn Sorensen Allacci & Rick Magder, 2014. "Walking in the shoes of another: assessing the boundaries of an environmental justice community and cumulative risk exposure through collaborative research," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 7(1), pages 23-44, January.
    6. Kamil Faisal & Sultanah Alshammari & Reem Alotaibi & Areej Alhothali & Omaimah Bamasag & Nusaybah Alghanmi & Manal Bin Yamin, 2022. "Spatial Analysis of COVID-19 Vaccine Centers Distribution: A Case Study of the City of Jeddah, Saudi Arabia," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    7. Karen Witten & Daniel Exeter & Adrian Field, 2003. "The Quality of Urban Environments: Mapping Variation in Access to Community Resources," Urban Studies, Urban Studies Journal Limited, vol. 40(1), pages 161-177, January.
    8. Hugo Teixeira & Alberto Freitas & António Sarmento & Paulo Nossa & Hernâni Gonçalves & Maria de Fátima Pina, 2021. "Spatial Patterns in Hospital-Acquired Infections in Portugal (2014–2017)," IJERPH, MDPI, vol. 18(9), pages 1-18, April.
    9. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    10. Koch, Tom & Denike, Kenneth, 2009. "Crediting his critics' concerns: Remaking John Snow's map of Broad Street cholera, 1854," Social Science & Medicine, Elsevier, vol. 69(8), pages 1246-1251, October.

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