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2009 13th International Conference Information Visualisation
GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems
Barcelona, Spain
July 15-July 17
ISBN: 978-0-7695-3733-7
| ASCII Text | x | ||
| Karim Lidouh, Yves De Smet, Esteban Zimányi, "GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems," 2010 14th International Conference Information Visualisation, pp. 393-402, 2009 13th International Conference Information Visualisation, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/IV.2009.59, author = {Karim Lidouh and Yves De Smet and Esteban Zimányi}, title = {GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems}, journal ={2010 14th International Conference Information Visualisation}, volume = {0}, year = {2009}, isbn = {978-0-7695-3733-7}, pages = {393-402}, doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2009.59}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2010 14th International Conference Information Visualisation TI - GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems SN - 978-0-7695-3733-7 SP393 EP402 A1 - Karim Lidouh, A1 - Yves De Smet, A1 - Esteban Zimányi, PY - 2009 KW - Multicriteria decision aiding KW - MCDA KW - ranking KW - PROMETHEE KW - GAIA KW - geographical information systems KW - GIS KW - visual multicriteria decision making VL - 0 JA - 2010 14th International Conference Information Visualisation ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2009.59
Spatial multicriteria decision problems are decision problems where one needs to take multiple conflicting criteria as well as geographical knowledge into account. In such a context, exploratory spatial analysis is known to provide tools to visualize as much data as possible on maps but does not integrate multicriteria aspects. Also, none of the tools provided by multicriteria analysis were initially destined to be used in a geographical context.In this paper, we propose an application of the PROMETHEE and GAIA ranking methods to Geographical Information Systems (GIS). The aim is to help decision makers obtain rankings of geographical entities and understand why such rankings have been obtained. To do that, we make use of the visual approach of the GAIA method and adapt it to display the results on geographical maps. This approach is then extended to cover several weaknesses of the adaptation. Finally, it is applied to a study of the region of Brussels as well as an evaluation of the Human Development Index (HDI) in Europe.
Index Terms:
Multicriteria decision aiding, MCDA, ranking, PROMETHEE, GAIA, geographical information systems, GIS, visual multicriteria decision making
Citation:
Karim Lidouh, Yves De Smet, Esteban Zimányi, "GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems," iv, pp.393-402, 2009 13th International Conference Information Visualisation, 2009
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