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Discretization of continuous predictor variables in Bayesian networks: an ecological threshold approach

Lucena-Moya, Paloma; Brawata, Renee; Kath, Jarrod; Harrison, Evan; El Sawah, Sondoss; Dyer, Fiona


Bayesian networks (BNs) are a popular tool in natural resource management but are limited when dealing with ecological assemblage data and when discretizing continuous variables. We present a method that addresses these challenges using a BN model developed for the Upper Murrumbidgee River Catchment (south-eastern Australia). A selection process was conducted to choose the taxa from the whole macroinvertebrate assemblage that were incorporated in the BN as endpoints. Furthermore, two different...[Show more]

CollectionsANU Research Publications
Date published: 2015-04
Type: Journal article
Source: Environmental Modelling & Software
DOI: 10.1016/j.envsoft.2014.12.019


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