Encyclopedia of GIS

2017 Edition
| Editors: Shashi Shekhar, Hui Xiong, Xun Zhou

Bayesian Network Integration with GIS

  • Daniel P. Ames
  • Allen Anselmo
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-17885-1_95

Synonyms

Definition

A Bayesian network (BN) is a graphical-mathematical construct used to probabilistically model processes which include interdependent variables, decisions affecting those variables, and costs associated with the decisions and states of the variables. BNs are inherently system representations and, as such, are often used to model environmental processes. Because of this, there is a natural connection between certain BNs and GIS. BNs are represented as a directed acyclic graph structure with nodes (representing variables, costs, and decisions) and arcs (directed lines representing conditionally probabilistic dependencies between the nodes). A BN can be used for prediction or analysis of real-world problems and complex natural systems where statistical correlations can be found between variables or approximated using expert...

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References

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Recommended Reading

  1. Ames DP (2002) Bayesian decision networks for watershed management. Utah State University, LoganGoogle Scholar
  2. Norsys Software Corp (2006) Netica Bayesian belief network software. Acquired from http://www.norsys.com/
  3. Stassopoulou A, Caelli T (2000) Building detection using Bayesian networks. Int J Pattern Recognit Artif Intell 14(6):715–733CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Daniel P. Ames
    • 1
  • Allen Anselmo
    • 1
  1. 1.Department of Geosciences, Geospatial Software LabIdaho State UniversityPocatelloUSA