Geospatial Decision Support Systems: Use of Criteria Based Spatial Layers for Decision Support in Monitoring of Operations

  • Shanmugavelan Velan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8891)


This paper brings out a conceptual approach for geospatial analysis for decision making process while monitoring operations. It capitulates on the ability of GDSS to support GIS layers. The decisions, decision making processes and the time involved are all broken down to a function of criteria over a set of information. This information is recommended to be stored in layers in special criteria based spatial form which reduces the processing requirements to simple manipulation of specific independent layers. This enables incremental decisions based on adequate set of data as and when required, which is akin to anytime algorithm. The human and machine analyses are integrated in a geo-visual analytical model. A case study of evacuation of an injured person from a mine using helicopter is presented. In this example all advantages of the concept are proven.


geospatial decision support spatial decision support anytime algorithm monitoring of operations geo intelligence generation 


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  1. 1.
    Angehrn, A.A., LüthiSource, H.-J.: Intelligent Decision Support Systems: A Visual Interactive Approach. Interfaces 20(6), 17–28 (1990)CrossRefGoogle Scholar
  2. 2.
    Armstrong, M.P., Densham, P.J.: Database organization strategies for spatial decision support systems. International Journal of Geographical Information Systems 4(1) (1990)Google Scholar
  3. 3.
    Andrienko, G., Anddrienko, N., Janowski, P., Keims, D., Hraak, M.J., Maceachren, A., Wrobel, S.: Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science 21(8), 839–857 (2007)CrossRefGoogle Scholar
  4. 4.
    Crossland, M.D., Wynne, B.E., Perkins, W.C.: Spatial decision support systems: An overview of technology and a test of efficacy. Decision Support Systems 14, 219–235 (1995)CrossRefGoogle Scholar
  5. 5.
    Dean, T.L., Boddy, M.: An analysis of time–dependent planning. In: Proceedings of Seventh National Conference on Artificial Intelligence, Minneapolis, Minnesota, pp. 49–54 (1998)Google Scholar
  6. 6.
    Densham, P.J.: Spatial decision support systems. Geographical information Systems: Principles and Applications 1, 403–412 (1991)Google Scholar
  7. 7.
    Harms, S.K., Deogun, J., Goddard, S.: Building Knowledge Discovery into Geospatial Decision Support Systems. In: SAC 2003, ACM, Melbourne (2003) 1-58113-624-2/03/03Google Scholar
  8. 8.
    Horsch, M.C., Poole, D.: An anytime algorithm for decision making under uncertainty. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers Inc (1998)Google Scholar
  9. 9.
    Cooke, D.F.: Spatial Decision Support System: not just another G1S. Geo. lnfo. Systems 2(5), 46–49 (1992)Google Scholar
  10. 10.
    Sholomo, Z.: Using Anytime Algorithm in Intelligent Systems. AI Magazine, 73–83 (Fall 1996)Google Scholar
  11. 11.
    Sholomo, Z.: Approximate Reasoning Using Anytime Algorithm, Computer Science Department Faculty Publication Series, University of Massachusetts – Amherst, Paper 226 (1995)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Shanmugavelan Velan
    • 1
  1. 1.Indian Institute of Technology KharagpurIndia

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