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Reasoning about spatial structure in landscapes with Geographic Information Systems

  • Claude W. Saunders
Spatial Reasoning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 716)

Abstract

Geographic Information Systems offer a new means to store, transform, and present cartographic information. Persons involved in landscape ecology, planning, and management use these systems to transform and examine data pertaining to a given geographical region. Unfortunately, there is often little correspondence between the language of landscape analysis and the operations provided by most Geographic Information Systems. This paper describes a language based on the landscape element abstractions commonly used by landscape architects and ecologists. With this language, a task specific landscape definition may be expressed in terms of matrix, patch, and corridor elements. The landscape definition is then used to guide the interpretation of cartographic data. This paper presents an extension to an existing Geographic Information System which provides the ability to locate instances of specified spatial structures in cartographic data. This extension represents an initial step towards being able to reason directly about the spatial relations amongst elements of interest in a landscape. The definition of a landscape analysis task is given in the landscape language and solutions generated by our system are presented.

Keywords

Geographic Information System Analysis Task Landscape Structure Data Layer Landscape Element 
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.
    Albert, T. M. 1988.Knowledge-Based Geographic Information Systems (KB-GIS): New Analytic and Data Management Tools. Mathematical Geology. Vol. 20, No. 8, pp. 1021–1035.Google Scholar
  2. 2.
    Ballard, D. H. and Brown, C. M. 1982. Computer Vision. Prentice-Hall, Inc., New Jersey.Google Scholar
  3. 3.
    Burrough, P. A. 1986. Principles of Geographical Information Systems for Land Resources Assesment. Clarendon Press, Oxford.Google Scholar
  4. 4.
    Cowen, D.J. 1988. GIS Versus CAD versus DBMS: What are the Differences? In Introductory Readings in Geographic Information Systems. Taylor and Francis, New York, pp. 52–61.Google Scholar
  5. 5.
    Dangermond, J. 1983. A Classification of Software Components Commonly Used in Geographic Information Systems. In Introductory Readings in Geographic Information Systems. Taylor and Francis, New York, pp. 30–51.Google Scholar
  6. 6.
    Forman, R. T. T., and Godron, M. 1986. Landscape Ecology. John Wiley and Sons, New York.Google Scholar
  7. 7.
    Larsen, K. and Hulse, D. 1989. macGIS — A Geographic Information System for the Macintosh: The User's Guide. University of Oregon, Eugene, Oregon.Google Scholar
  8. 8.
    Li, H. 1989. Spatio-temporal Pattern Analysis of Managed Forest Landscapes: A Simulation Approach. Doctoral Dissertation, Oregon State University.Google Scholar
  9. 9.
    Lounsbury, J. F., Sommers, L. M., and Fernald, E. A. 1981. Land Use: A Spatial Approach. Kendall/Hunt Publishing Company, Dubuque, Iowa.Google Scholar
  10. 10.
    Peuquet, D. J. 1984. A Conceptual Framework and Comparison of Spatial Data Models. In Introductory Readings in Geographic Information Systems. Taylor and Francis, New York, pp. 250–285.Google Scholar
  11. 11.
    Reiter, R. and Mackworth, A. K. 1989. A Logical Framework for Depiction and Image Interpretation. Artificial Intelligence 41, pp. 125–155.MathSciNetGoogle Scholar
  12. 12.
    Rosenfeld, A. and Kak, A. C. 1976. Digital Picture Processing. Academic Press, New York.Google Scholar
  13. 13.
    Tanimoto, S. L. 1987. The Elements of Artificial Intelligence. Computer Science Press, Inc., Maryland.Google Scholar
  14. 14.
    Webster, C. 1990. Rule-based Spatial Search. International Journal of Geographical Information Systems. Vol. 4, No. 3, pp. 241–259.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Claude W. Saunders
    • 1
  1. 1.Argonne National LaboratoryArgonne

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