Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-4029| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Deconstructed and inverted multi-criteria evaluation for on-the-fly scenario development and decision-making |
| Authors: | Geilhausen, Martin Laube, Patrick |
| DOI: | 10.21256/zhaw-4029 10.4230/LIPIcs.GISCIENCE.2018.27 |
| Proceedings: | 10th International Conference on Geographic Information Science (GIScience 2018) |
| Editors of the parent work: | Winter, Stephan Griffin, Amy Sester, Monika |
| Volume(Issue): | 2018 |
| Issue: | 27 |
| Pages: | 27:1 |
| Pages to: | 27:7 |
| Conference details: | 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne, 28-31 August 2018 |
| Issue Date: | 2018 |
| Series: | Leibniz International Proceedings in Informatics (LIPIcs) |
| Series volume: | 114 |
| Publisher / Ed. Institution: | Dagstuhl Publishing |
| ISBN: | 978-3-95977-083-5 |
| ISSN: | 1868-8969 |
| Other identifiers: | https://nbn-resolving.de/urn:nbn:de:0030-drops-97424 |
| Language: | English |
| Subject (DDC): | 333.79: Energy |
| 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. |
| URI: | http://drops.dagstuhl.de/opus/volltexte/2018/9355 https://digitalcollection.zhaw.ch/handle/11475/11875 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 3.0: Attribution 3.0 Unported |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Natural Resource Sciences (IUNR) |
| Published as part of the ZHAW project: | Potential zur Windenergienutzung auf Arealen der SBB |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| geilhausenLaube_LIPIcs-GISCIENCE-2018-27.pdf | 1.34 MB | Adobe PDF |  View/Open |
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