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https://hdl.handle.net/1959.11/16925
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Welch, Mitchell | en |
dc.contributor.author | Kwan, Paul | en |
dc.contributor.author | Sajeev, Abudulkadir | en |
dc.date.accessioned | 2015-04-16T14:51:00Z | - |
dc.date.created | 2014 | en |
dc.date.issued | 2014 | - |
dc.identifier.uri | https://hdl.handle.net/1959.11/16925 | - |
dc.description.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. | en |
dc.language | en | en |
dc.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 | en |
dc.type | Thesis Doctoral | en |
dcterms.accessRights | UNE Green | en |
dc.subject.keywords | Decision Support and Group Support Systems | en |
dc.subject.keywords | Simulation and Modelling | en |
dc.subject.keywords | Software Engineering | en |
local.contributor.firstname | Mitchell | en |
local.contributor.firstname | Paul | en |
local.contributor.firstname | Abudulkadir | en |
local.subject.for2008 | 080605 Decision Support and Group Support Systems | en |
local.subject.for2008 | 080110 Simulation and Modelling | en |
local.subject.for2008 | 080309 Software Engineering | en |
local.subject.seo2008 | 960405 Control of Pests, Diseases and Exotic Species at Regional or Larger Scales | en |
local.subject.seo2008 | 890201 Application Software Packages (excl. Computer Games) | en |
dcterms.RightsStatement | Copyright 2014 - Mitchell Welch | en |
dc.date.conferred | 2014 | en |
local.thesis.degreelevel | Doctoral | en |
local.thesis.degreename | Doctor of Philosophy | en |
local.contributor.grantor | University of New England | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | mwelch8@une.edu.au | en |
local.profile.email | wkwan2@une.edu.au | en |
local.profile.email | asajeev@une.edu.au | en |
local.output.category | T2 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une_thesis-20140304-125310 | en |
local.title.subtitle | A Case Study on Computational Simulation of an Old World Screwworm Fly Invasion of Australia | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Welch | en |
local.contributor.lastname | Kwan | en |
local.contributor.lastname | Sajeev | en |
dc.identifier.staff | une-id:mwelch8 | en |
dc.identifier.staff | une-id:wkwan2 | en |
dc.identifier.staff | une-id:asajeev | en |
local.profile.orcid | 0000-0003-4220-8734 | en |
local.profile.role | author | en |
local.profile.role | supervisor | en |
local.profile.role | supervisor | en |
local.identifier.unepublicationid | une:17139 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | On Performance Improvement Techniques and Geospatial Data Visualisation of Large Scale Agent-Based Models | en |
local.output.categorydescription | T2 Thesis - Doctorate by Research | en |
local.thesis.borndigital | yes | en |
local.search.author | Welch, Mitchell | en |
local.search.supervisor | Kwan, Paul | en |
local.search.supervisor | Sajeev, Abudulkadir | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/cd5fca8f-db11-4eef-a3b8-34927263c3c1 | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/b3f0157e-4978-4bf6-8005-b1e1f4761e13 | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/efdaa898-573b-4a5d-8573-63c50e6a8503 | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/d8f84d55-a557-4a27-9f71-6fc87a87738a | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/d8dcf295-2620-4a83-a102-5814fce26fc9 | en |
local.uneassociation | Yes | en |
local.year.conferred | 2014 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/d8f84d55-a557-4a27-9f71-6fc87a87738a | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/efdaa898-573b-4a5d-8573-63c50e6a8503 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/cd5fca8f-db11-4eef-a3b8-34927263c3c1 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/d8dcf295-2620-4a83-a102-5814fce26fc9 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/b3f0157e-4978-4bf6-8005-b1e1f4761e13 | en |
local.subject.for2020 | 460507 Information extraction and fusion | en |
local.subject.for2020 | 460207 Modelling and simulation | en |
local.subject.for2020 | 461201 Automated software engineering | en |
local.subject.seo2020 | 220401 Application software packages | en |
Appears in Collections: | Thesis Doctoral |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
open/MARCXML.xml | MARCXML.xml | 2.66 kB | Unknown | View/Open |
open/SOURCE06.pdf | Thesis, part 3 | 4.14 MB | Adobe PDF Download Adobe | View/Open |
open/SOURCE05.pdf | Thesis, part 2 | 5.55 MB | Adobe PDF Download Adobe | View/Open |
open/SOURCE07.pdf | Thesis, part 4 | 5.63 MB | Adobe PDF Download Adobe | View/Open |
open/SOURCE04.pdf | Thesis, part 1 | 3.71 MB | Adobe PDF Download Adobe | View/Open |
open/SOURCE03.pdf | Abstract | 324.85 kB | Adobe PDF Download Adobe | View/Open |
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