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Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.27
Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper)

Authors: Martin Geilhausen and Patrick Laube

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

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.
Cite as

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)

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@InProceedings{geilhausen_et_al:LIPIcs.GISCIENCE.2018.27,
  author =	{Geilhausen, Martin and Laube, Patrick},
  title =	{{Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{27:1--27:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.27},
  URN =		{urn:nbn:de:0030-drops-93558},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.27},
  annote =	{Keywords: Multi-criteria evaluation, efficiency, decision-making, data structures}
}
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