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Hierarchies of space and time

  • P. A. Whigham
Temporal Reasoning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 716)

Abstract

The ability to have a clear representation of what has happened and where it has happened are basic to decision making and prediction. We investigate a structure to represent a class of problems that are slowly changing with respect to the viewer. A hierarchical structure for both time and the events associated with time is proposed. The concept of persistence for an event is introduced, and shown to be a useful tool for management and decision making. A simple linkage system is described which allows causal associations to be made between events. We conclude that this type of system is a useful addition to the current tools available for storage and representation of spatio-temporal concepts.

Keywords

Expert System Erosion Control Background Reference Sediment Retention Event Instance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Abel, D.J. (1985) Some Elemental Operations on Linear Quadtrees for Geographic Information systems. The Computer Journal, Vol 28, No 1 pg73–77.Google Scholar
  2. 2.
    Albert,T.M. (1988) Knowledge-Based Geographic Infromation Systems (KBGIS): New Analytic and Data Management Tools. Mathematical Geology, Vol. 20, No. 8, 1988. pp 1021–1035.Google Scholar
  3. 3.
    Alexander E.R. (1982) Design in the decision making process. Policy Sciences 14,3:279–292.Google Scholar
  4. 4.
    Allen,J.F.(1983)Maintaining Knowledge about Temporal Intervals. Communications of the ACM, Vol 26, No. 11, November, 1983.Google Scholar
  5. 5.
    Forsyth, R (ed) (1984). EXPERT SYSTEMS: Principles and case studies. Chapman and Hall, London, New York. 232p.Google Scholar
  6. 6.
    Hadzilacos T. and Tryfona, N. (1992) A Model for Expressing Topological Integrity Constraints in Geographic Databases. Lecture Notes in Computer Science 639. Springer Verlag. Frank,A.U. Campari I. and Formentinin,U. Eds. pp 252–268Google Scholar
  7. 7.
    Langran,G. and Chrisman,N.R. (1988) A Framework for Temporal Geographic Information. Cartographica Vol. 25 No. 3 pp1–14, 1988.Google Scholar
  8. 8.
    Papagno, G. (1992) Seeing Time contribution to the discussion on space time dynamic. GIS From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning — additional material. Frank,A.U.,Campari,I. and Formentinin,U. Eds.Google Scholar
  9. 9.
    Salmon,W.C. (1975). Space, Time and Motion: A philosophical introduction. Dickenson.Google Scholar
  10. 10.
    Smith,T.,Peuquet, D. Menon,S., and Agarwal, P., 1986, KBGIS-II: A Knowledge-Based Geographic Information Syste: Dept. Of Computer Science, University of California, Santa Barbara, 36 p.Google Scholar
  11. 11.
    Stanton,R.B. and H.G. Mackenzie. Expert System techniques in spatial planning problems. Applications of Expert Systems. Proceedings, 4th Conference on Applications of Expert Systems, R.Quinlan, ed. University of Technology, Sydney, Australia. 1988. pp 57–66.Google Scholar
  12. 12.
    Wirth, N. (1976) Algorithms + Data Structures = Programs. Prentice-Hall, Inc. Englewood Cliffs, New Jersey.Chapter 4.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • P. A. Whigham
    • 1
  1. 1.CSIRO Division of Water ResourcesCanberraAustralia

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