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GIS for empirical research design: An illustration with georeferenced point data

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  • Katsuo Kogure
  • Yoshito Takasaki

Abstract

This paper demonstrates how Geographic Information Systems (GIS) can be utilized to study the effects of spatial phenomena. Since experimental designs such as Randomized Controlled Trials are generally not feasible for spatial problems, researchers need to rely on quasi-experimental approaches using observational data. We provide a regression-based framework of the key procedures for GIS-based empirical research design using georeferenced point data for both spatial events of interest and subjects exposed to the events. We illustrate its utility and implementation through a case study on the impacts of the Cambodian genocide under the Pol Pot regime on post-conflict education.

Suggested Citation

  • Katsuo Kogure & Yoshito Takasaki, 2019. "GIS for empirical research design: An illustration with georeferenced point data," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    • Handle: RePEc:plo:pone00:0212316
    DOI: 10.1371/journal.pone.0212316
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    References listed on IDEAS

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    Cited by:

    1. Takasaki, Yoshito, 2020. "Impacts of disability on poverty: Quasi-experimental evidence from landmine amputees in Cambodia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 85-107.
    2. Mateusz Ciski & Krzysztof Rząsa & Marek Ogryzek, 2019. "Use of GIS Tools in Sustainable Heritage Management—The Importance of Data Generalization in Spatial Modeling," Sustainability, MDPI, vol. 11(20), pages 1-21, October.

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