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Related Experiment Videos

Toward modeling regionally specific human security using GIS: case study Cambodia.

Taylor Owen1, Olav Slaymaker

  • 1Centre for the Study of Civil War, International Peace Research Institute, Oslo. taylor.owen@jesus.ox.ac.uk

Ambio
|October 6, 2005
PubMed
Summary

A new methodology measures human security by assessing threats, collecting data, and visualizing it with GIS. This approach identifies "hot spots" of poverty, dengue fever, and tuberculosis in Cambodia.

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Area of Science:

  • Public Health
  • Geospatial Analysis
  • Socioeconomic Studies

Background:

  • Human security is a multidimensional concept encompassing economic, health, food, political, personal, and environmental factors.
  • Existing analyses often focus on single sectors, limiting a comprehensive understanding of interconnected threats.
  • The United Nations Development Programme (UNDP) promotes a holistic view of human security.

Purpose of the Study:

  • To present a novel methodology for measuring human security.
  • To integrate diverse threat assessments into a unified framework.
  • To demonstrate the methodology's utility through a case study in Cambodia.

Main Methods:

  • A three-stage methodology: threat assessment, data collection/organization, and Geographic Information Systems (GIS) based visualization/analysis.

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  • Determination of country-specific threats across all human security dimensions.
  • Collection of local, spatially referenced data for analysis.
  • Main Results:

    • Identification of regions in Cambodia exposed to multiple threats (poverty, dengue fever, tuberculosis) as "hot spots".
    • Calculation of spatial correlations between poverty, dengue fever, and tuberculosis.
    • Demonstration of the analytic process using these three example threats.

    Conclusions:

    • The methodology advances a broad, integrated concept of human security.
    • It offers a tool to assist policymakers in decision-making.
    • It highlights research questions addressable only through multi-sectoral analysis.