LIPIcs.GISCIENCE.2018.27.pdf
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Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper)
Authors
Martin Geilhausen 
,
Patrick Laube
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Part of:
Volume:
10th International Conference on Geographic Information Science (GIScience 2018)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Geographic Information Science (GIScience) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-08-02
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Document Identifiers
Author Details
- Zurich University of Applied Sciences, Institute of Natural Resource Sciences, Campus Grüental, Wädenswil, Switzerland
Cite As Get BibTex
Martin Geilhausen and Patrick Laube. Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 27:1-27:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.27
Abstract
We propose a variation of the conventional spatial multi-criteria evaluation workflow for suitability analysis that allows efficient on-the fly scenario development for decision-making. Our approach proposes to reconstruct the conventional MCE workflow in order to exclude computationally expensive geoprocessing from the iterative scenario development. We then introduce a procedure that replaces costly iterations of spatial operations with one off-line preprocessing step followed by iterations of much less computationally expensive database queries. We illustrate our approach for deconstructed and inverted multi-criteria analysis with a case study aiming at selecting suitable sites for wind turbines in the Swiss alps.
Subject Classification
ACM Subject Classification
- Information systems → Geographic information systems
- Information systems → Data analytics
- Information systems → Expert systems
Keywords
- Multi-criteria evaluation
- efficiency
- decision-making
- data structures
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References
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