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Interactive spatial data analysis in medical geography

A C Gatrell1, T C Bailey

  • 1Department of Geography, Lancaster University, England.

Social Science & Medicine (1982)
|March 1, 1996
PubMed
Summary
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This study explores interactive spatial data analysis software for geographical epidemiology. It demonstrates how tools like ARC/INFO and statistical environments aid in disease mapping and pollution source analysis.

Area of Science:

  • Epidemiology
  • Geographic Information Systems (GIS)
  • Spatial Analysis

Background:

  • Interactive spatial data analysis software facilitates visualization, exploration, and modeling of geographically-referenced data.
  • Such systems are crucial for environmental and geographical epidemiological research.
  • A growing number of software environments are available across various platforms.

Purpose of the Study:

  • To examine the application of interactive spatial data analysis software in geographical epidemiology.
  • To illustrate how spatial analytic tools enhance disease incidence modeling around pollution sources.
  • To review various software environments, including GIS and statistical programming packages, for spatial analysis.

Main Methods:

  • Utilized the Geographical Information System (GIS) ARC/INFO for spatial analysis.

Related Experiment Videos

  • Reviewed statistical programming environments like S-Plus and XLISP-STAT with added spatial functions.
  • Highlighted INFO-MAP for teaching interactive spatial data analysis.

    • Main Results:

    • Demonstrated the exploitation of ARC/INFO's spatial analytic tools by geographical epidemiologists.
    • Showcased the integration of spatial analysis functions within statistical environments.
    • Illustrated software applications with case studies on disease clustering and mortality.

    Conclusions:

    • Interactive spatial data analysis software, particularly GIS and statistical packages, offers valuable tools for epidemiological research.
    • These systems enable effective modeling of disease incidence in relation to environmental factors.
    • The reviewed software environments support diverse applications in geographical epidemiology, from disease mapping to educational purposes.