Upgrading Geographic Information Systems to spatial Decision Support Systems

Autor(i)

  • Jos M.F. Van Orshoven DEES, Katholieke Universiteit Leuven, Belgium
  • Vincent Kint DEES, Katholieke Universiteit Leuven, Belgium
  • Anja Wijffels Universidad de Cuenca, Cuenca, Ecuador
  • René Estrella Universidad de Cuenca, Cuenca, Ecuador
  • Gergely Bencsik IIE, University of West Hungary, Sopron, Hungary
  • Pablo Vanegas DEES, Katholieke Universiteit Leuven, Belgium
  • Bart Muys DEES, Katholieke Universiteit Leuven, Belgium
  • Dirk Cattrysse CIM, Traffic and Infrastructure, K.U.Leuven, Belgium
  • Stefaan Dondeyne DEES, Katholieke Universiteit Leuven, Belgium

Ključne riječi:

Multi-purpose forestry, Decision support

Sažetak

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. MCFNS 3(1):36-41.

Biografija autora

  • Jos M.F. Van Orshoven, DEES, Katholieke Universiteit Leuven, Belgium

    Department of Earth & Environmental Sciences

    Associate Professor

International Journal of Mathematical and Computational Forstry and Natural-Resource Sciences

Preuzimanja

Objavljeno

2011-02-28

Broj časopisa

Svezak 3 Br. 1: MCFNS February 28, 2011

Rubrika

Special Section on Decision Support Tools for Sustainable Forest Management

Licenca

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Kako citirati

Van Orshoven, J. M., Kint, V., Wijffels, A., Estrella, R., Bencsik, G., Vanegas, P., Muys, B., Cattrysse, D., & Dondeyne, S. (2011). Upgrading Geographic Information Systems to spatial Decision Support Systems. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 3(1), 36-41 (6). https://mcfns.com/index.php/Journal/article/view/3.5

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