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Integrating Geographical Information Systems and Multi-Criteria Methods: A Case Study

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  • Eliane Gomes
  • Marcos Lins

Abstract

This paper presents an application of the integration between Geographical Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to aid spatial decisions. We present a hypothetical case study to illustrate the GIS–MCDA integration: the selection of the best municipal district of Rio de Janeiro State, Brazil, in relation to the quality of urban life. The best municipal district is the one that presents the closest characteristics to those considered ideal by the decision-maker. The approach adopted is the Multi-Objective Linear Programming (MOLP) and the chosen method is the Pareto Race. Copyright Kluwer Academic Publishers 2002

Suggested Citation

  • Eliane Gomes & Marcos Lins, 2002. "Integrating Geographical Information Systems and Multi-Criteria Methods: A Case Study," Annals of Operations Research, Springer, vol. 116(1), pages 243-269, October.
    • Handle: RePEc:spr:annopr:v:116:y:2002:i:1:p:243-269:10.1023/a:1021344700828
    DOI: 10.1023/A:1021344700828
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    Cited by:

    1. Tipparat Pongthanapanich, 2003. "Review of Mathematical Programming for Coastal Land Use Optimization," Working Papers 52/2003, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    2. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Satellite big data analytics for ethical decision making in farmer’s insurance claim settlement: minimization of type-I and type-II errors," Annals of Operations Research, Springer, vol. 315(2), pages 1061-1082, August.
    3. Arthur Lehner & Christoph Erlacher & Matthias Schlögl & Jacob Wegerer & Thomas Blaschke & Klaus Steinnocher, 2018. "Can ISO-Defined Urban Sustainability Indicators Be Derived from Remote Sensing: An Expert Weighting Approach," Sustainability, MDPI, vol. 10(4), pages 1-31, April.
    4. Saverio Miccoli & Fabrizio Finucci & Rocco Murro, 2014. "Social Evaluation Approaches in Landscape Projects," Sustainability, MDPI, vol. 6(11), pages 1-15, November.
    5. David Uribe & Davide Geneletti & Rafael F. Del Castillo & Francesco Orsi, 2014. "Integrating Stakeholder Preferences and GIS-Based Multicriteria Analysis to Identify Forest Landscape Restoration Priorities," Sustainability, MDPI, vol. 6(2), pages 1-17, February.

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