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Increasing model efficiency by dynamically changing model representations


Gray, R and Wotherspoon, S, Increasing model efficiency by dynamically changing model representations, Environmental Modelling and Software, 30 pp. 115-122. ISSN 1364-8152 (2012) [Refereed Article]

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DOI: doi:10.1016/j.envsoft.2011.08.012


There are a number of strategies to deal with modelling large complex systems such as large marine ecosystems. These systems are often comprised of many submodels, each contributing to the overall trajectory of the system. The balance between the acceptable modelling error and the run-time often dictates the form of these submodels. There may be scope to improve the position of this balance point in both regards by structuring models so that submodels may change their algorithmic representation and state space in response to their local state and the state of the model as a whole.

This paper uses an example system consisting of a single population of animals which periodically encounters a diffuse contaminant in a localised region as an example of such a system, and discusses the key issues that arise from the approach.

Item Details

Item Type:Refereed Article
Keywords:model structure, model efficiency, equation-based model, individual-based model, integrated model, contaminant uptake
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Population ecology
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Wotherspoon, S (Dr Simon Wotherspoon)
ID Code:76046
Year Published:2012
Web of Science® Times Cited:8
Deposited By:IMAS Research and Education Centre
Deposited On:2012-02-24
Last Modified:2014-11-24

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