A Bayesian network approach to modelling temporal behaviour of Lyngbya majuscula bloom initiation

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Volumn , Issue , 2009, Pages 4255-4261

  Johnson, S ^a   Mengersen, K ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Algal bloom; Bayesian Belief Network; BN; Lyngbya majuscula; Object Oriented; OOBN

Indexed keywords

ALGAE; CATCHMENTS; DECISION MAKING; KNOWLEDGE REPRESENTATION; TROPICS;

COMPREHENSIVE INFORMATION; EXPERT INFORMATIONS; IDENTIFICATION OF SOURCES; MANAGEMENT EFFORTS; MANAGEMENT PROGRAMS; OBJECT-ORIENTED BAYESIAN NETWORKS; TEMPORAL BEHAVIOUR; VERIFICATION PROCESS;

BAYESIAN NETWORKS;

EID: 85086274519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Hamilton, G., McVinish, R., and Mengersen, K. (2007a), Bayesian model identification and averaging for coastal algal bloom prediction. (unpublished).
3. Hamilton, G.S., Fielding, F., Chiffings, A.W., Hart, B.T., Johnstone, R.W., and Mengersen, K. (2007b), Investigating the Use of a Bayesian Network to Model the Risk of Lyngbya majuscula Bloom Initiation in Deception Bay, Queensland. Human and Ecological Risk Assessment, 13, 1271-1279.
4. Hodgkinson, J. and Cox, M. (2005), Lyngbya blooms in relation to temperature, rainfall, SOI and tides: 2000 to 2005. Moretonbay Waterways and Catchment Partnerships.
5. Koller, D. and Pfeffer, A. (1997), Object-Oriented Bayesian Networks. Thirteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-97), Providence, Rhode Island, 1-3 August 1997, 302-313.
6. Watkinson, A.J., O'Neil, J.M., and Dennison, W.C. (2005), Ecophysiology of the marine cyanobacterium, Lyngbya majuscula (Oscillatoriaceae) in Moreton Bay, Australia. Harmful Algae, 4, 697-715.