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Statistical Approaches in GIS-Based Techniques for Sustainable Planning: Kayaçukuru Case

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  • Aygun Erdogan

Abstract

The purpose of this study is to make both a summary and additional descriptive and inferential statistical analyses for a completed thesis on "Sustainable/Environment Friendly Development Planning of Fethiye-Kayaçukuru Using GIS-Based Techniques" (M.Sc. in the Graduate School of Geodetic and Geographic Information Technologies, Middle East Technical University, Supervisor: Assoc.Prof.Dr. Oğuz Işık, September 2000, 214 pages). The statistical analyses explained in this paper comprise a part of the whole GIS-based techniques developed for a case study about Fethiye-Kayaçukuru Plain to explore the contributions of such an approach. In this respect, first, the study area, spatial and non-spatial data and the way they are handled are introduced. Then, the performed statistical descriptive and predictive analyses/models and their interpretations in the developed "loose-coupled" "decision/planning support system" are mentioned. Finally, the concluding remarks of the study are discussed emphasising the contributions of this approach in the sustainable/environment friendly development planning and in particular for the Plain. Keywords: Sustainable/environment friendly development, decision/planning support system, non-spatial and spatial statistical analyses, statistical testing, modelling.

Suggested Citation

  • Aygun Erdogan, 2003. "Statistical Approaches in GIS-Based Techniques for Sustainable Planning: Kayaçukuru Case," ERSA conference papers ersa03p24, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa03p24
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    References listed on IDEAS

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    1. Peter Nijkamp, 1975. "A MULTICRITERIA ANALYSIS FOR PROJECT EVALUATION: Economic‐Ecological Evaluation of a Land Reclamation Project," Papers in Regional Science, Wiley Blackwell, vol. 35(1), pages 87-111, January.
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    More about this item

    Keywords

    sustainable/environment friendly development; decision/planning support system; non-spatial and spatial statistical analyses; statistical testing; modelling.;
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