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Title: On Performance Improvement Techniques and Geospatial Data Visualisation of Large Scale Agent-Based Models: A Case Study on Computational Simulation of an Old World Screwworm Fly Invasion of Australia
Contributor(s): Welch, Mitchell  (author)orcid ; Kwan, Paul (supervisor); Sajeev, Abudulkadir  (supervisor)
Conferred Date: 2014
Copyright Date: 2014
Open Access: Yes
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Abstract: The Old World Screwworm Fly (OWSWF), 'Chrysomya bezziana', is an insect pest that is endemic to the tropical regions of Asia, the Middle East and Africa, that reproduces by laying its eggs in open wounds and mucus membranes on warm blooded mammals. Upon hatching, the OWSWF larvae eat the living flesh of the host animal, causing injury, secondary infections and in extreme cases death. If this pest was introduced to the Australian mainland, it could have a devastating impact on the livestock industries within the northern regions of Australia. In order to plan and respond to the threat of the introduction of this pest into the Australian mainland, government authorities require a modelling capability to support both decision making and policy creation. This thesis builds upon the existing research surrounding the OWSWF biological lifecycle and dispersal characteristics to develop a national-scale, high-resolution, agent-based model that simulates an invasion of Australia by the OWSWF.
Publication Type: Thesis Doctoral
Field of Research Codes: 080605 Decision Support and Group Support Systems
080110 Simulation and Modelling
080309 Software Engineering
Socio-Economic Outcome Codes: 960405 Control of Pests, Diseases and Exotic Species at Regional or Larger Scales
890201 Application Software Packages (excl. Computer Games)
Rights Statement: Copyright 2014 - Mitchell Welch
HERDC Category Description: T2 Thesis - Doctorate by Research
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Appears in Collections:Thesis Doctoral

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