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Advantages and challenges of Bayesian networks in environmental modelling

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  • Uusitalo, Laura

Abstract

Bayesian networks (BNs) are an increasingly popular method of modelling uncertain and complex domains such as ecosystems and environmental management. At best, they provide a robust and mathematically coherent framework for the analysis of this kind of problems. However, there are certain pitfalls as well. In this paper, I summarise the pros and cons of the use of Bayesian networks especially in the context of environmental modelling and management. I will also give references to relevant publications, and introduce some software products that can be used to build Bayesian networks.

Suggested Citation

  • Uusitalo, Laura, 2007. "Advantages and challenges of Bayesian networks in environmental modelling," Ecological Modelling, Elsevier, vol. 203(3), pages 312-318.
  • Handle: RePEc:eee:ecomod:v:203:y:2007:i:3:p:312-318
    DOI: 10.1016/j.ecolmodel.2006.11.033
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    References listed on IDEAS

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    1. Varis, Olli & Kettunen, Juhani & Sirvio, Hannu, 1990. "Bayesian influence diagram approach to complex environmental management including observational design," Computational Statistics & Data Analysis, Elsevier, vol. 9(1), pages 77-91, January.
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