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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/22032
Title: Upgrading geographic information systems to spatial decision support systems
Other Titles: Mathematical and Computational Forestry and Natural-Resource Sciences
Authors: Van Orshoven, Jos
Kint, Vincent
Wijffels, Anja
Estrella, René
Bencsik, Gergely
Vanegas, Pablo
Muys, Bart
Cattrysse, Dirk
Dondeyne, Stefaan
Keywords: Multi Purpose Forestry
Decision Support
Biodiversity
Issue Date: 17-Apr-2011
metadata.dc.ucuenca.paginacion: Páginas 36-41
metadata.dc.description.numberSequence: 
volumen 3; número 1
metadata.dc.description.city: 
Cuenca
metadata.dc.type: Article
Abstract: 
A GIS is capable of identifying a set of land units meeting positional, temporal, topological and multiple on-site attribute criteria. Based on the combination of its generic analytical functionalities, a GIS can also be used to rank the alternative land units and propose the best or worst ones in terms of the non-weighted or weighted criteria. More advanced multi-criteria decision methods are however not easily incorporated in the GIS-framework so that extension with dedicated tools is required to upgrade the GIS to a full blown sDSS. In this paper we illustrate this upgrading of GIS to sDSS and we argue that when also temporal alternatives are dealt with, the DSS can be termed spatio-temporal. Three statements are made: (i) the presented rationale is challenged by phenomena of spatial and spatio-temporal interaction, (ii) important research avenues are present in order to optimize topological and off-site decision attributes in the spatial and spatio-temporal decision problems and (iii) the forestry domain is very suitable for study and application of all the mentioned issues due to the explicit spatial and temporal nature of the management issues which must be addressed.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/22032
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