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Case Libraries and Information Theoretic Case Matching for Soil and Water Resources Management

  • Sarah Dorner
  • Christopher Pal
  • Edwin Ongley
  • David A. Swayne
Conference paper
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 39)

Abstract

This paper presents an alternative or complementary technique to exhaustive watershed modelling, in which a case library of previous watershed studies is compiled. Watershed studies found within existing literature are indexed by a set of characteristic parameters or features believed to be most relevant for estimating sediment, nutrient and pesticide transport. Cases are indexed using parameters describing broad watershed features. The case library can then be queried for a potential new project. One can then search through the database of cases as one would a standard database. The cases can be organised into a decision tree in which various nodes of the tree represent tests of the parameter values. Measures of the information content of each parameter reflect its ability to predict observed transport measurements. Cases are retrieved that nearly match parameter estimations for a particular project under consideration. The existing cases that are found in the same leaf of the decision tree are then presented for review and analysis of the proposed project

Key words

Decision theoretic expert systems agricultural applications 

References

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Copyright information

© IFIP International Federation for Information Processing 2000

Authors and Affiliations

  • Sarah Dorner
    • 1
  • Christopher Pal
    • 1
  • Edwin Ongley
    • 2
  • David A. Swayne
    • 3
  1. 1.Computing Research Laboratory for the EnvironmentUniversity of GuelphGuelphCanada
  2. 2.Emeritus Scientist, Environment CanadaBurlingtonCanada
  3. 3.Department of Computing & Information ScienceUniversity of GuelphGuelphCanada

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