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Bayesian networks (BNs) are a mature technology now widely used for modelling complex domains requiring decision making under certainty, such as environmental modelling. Object-oriented BNs (OOBNs) have been proposed to help manage the modelling complexity through structured decomposition, abstraction and encapsulation. OOBNs have been applied previously to(More)
We propose a new methodology based on continuous Bayesian networks for assessing species richness. Specifically, we applied a restricted structure Bayesian network, known as tree augmented naive Bayes (TAN), regarding a set of environmental continuous predictors. First, we analysed the relationships between the response variable (called the terrestrial(More)
This paper presents the software Omnigram Explorer, a visu-alization tool developed for interactive exploration of relations between variables in a complex system. Its objective is to help users gain an initial knowledge of their data and the relationships between variables. As an example, we apply it to the water reservoir data for Andalusia, Spain. Two(More)
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