2026-07-23T00:21:45Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:9355 2024-03-06T10:44:07Z ddc:004 open_access

Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper) Geilhausen, Martin Laube, Patrick Multi-criteria evaluation efficiency decision-making data structures 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Martin Geilhausen and Patrick Laube 2018 Is Part Of LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GISCIENCE.2018.27 urn:nbn:de:0030-drops-93558 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.27 eng https://creativecommons.org/licenses/by/3.0/legalcode