License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
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DOI: 10.4230/LIPIcs.GISCIENCE.2018.27
URN: urn:nbn:de:0030-drops-93558
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9355/
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Geilhausen, Martin ; Laube, Patrick

Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper)

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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.

BibTeX - Entry

@InProceedings{geilhausen_et_al:LIPIcs:2018:9355,
  author =	{Martin Geilhausen and Patrick Laube},
  title =	{{Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper)}},
  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 =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9355},
  URN =		{urn:nbn:de:0030-drops-93558},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.27},
  annote =	{Keywords: Multi-criteria evaluation, efficiency, decision-making, data structures}
}

Keywords: Multi-criteria evaluation, efficiency, decision-making, data structures
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018

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