DocumentCode
2770065
Title
GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems
Author
Lidouh, Karim ; De Smet, Y. ; Zimanyi, E.
Author_Institution
Dept. of Comput. & Decision Eng. (CoDE), Univ. Libre de Bruxelles, Brussels, Belgium
fYear
2009
fDate
15-17 July 2009
Firstpage
393
Lastpage
402
Abstract
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.
Keywords
cartography; data visualisation; decision making; geographic information systems; Europe; GAIA ranking methods; Geographical Information Systems; PROMETHEE ranking methods; data visualization; geographical entities rankings; geographical knowledge; geographical maps; human development index; spatial multicriteria decision problems; visual ranking analysis; Computer displays; Data analysis; Data visualization; Europe; Geographic Information Systems; Humans; Information analysis; Information systems; Knowledge engineering; Sorting; GAIA; GIS; MCDA; Multicriteria decision aiding; PROMETHEE; geographical information systems; ranking; visual multicriteria decision making;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2009 13th International Conference
Conference_Location
Barcelona
ISSN
1550-6037
Print_ISBN
978-0-7695-3733-7
Type
conf
DOI
10.1109/IV.2009.59
Filename
5190852
Link To Document