Analysis of environmental factors influencing the range of anopheline mosquitoes in northern Australia using a genetic algorithm and data mining methods

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dc.contributor.author Sweeney, AW
dc.contributor.author Beebe, NW
dc.contributor.author Cooper, RD
dc.date.accessioned 2009-12-21T02:29:23Z
dc.date.issued 2007-01
dc.identifier.citation Ecological Modelling, 2007, 203 (3-4), pp. 375 - 386
dc.identifier.issn 0304-3800
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3605
dc.description.abstract Environmental factors which influence the distributions of malaria vectors in northern Australia (Anopheles farauti ss, A. farauti 2 and A. farauti 3) were investigated by ecological niche modelling and data mining using an extensive data set of species presence and absence records obtained by systematic field surveys. Models were generated with GARP (the genetic algorithm for rule-set prediction) using geographical coverages of 41 climatic and topographic parameters for the north of the continent. Environemtal variables associated with species records were identified with the ranking procedures of the decision tree software packages CART and Knowledge Seeker. There was consistent agreement in the variables ranked by both methods. This permitted the selection of reduced sets of environmental variables to develop GARP models for the three target species with equivalent predictive accuracy to those which used all the environmental information. The environmental parameters which define the realised distributions of A. farauti ss and A. farauti 3 were well described by this approach but the results were less satisfactory for A farauti 2. Atmospheric moisture was shown to eb a critical variable for wach species which accords with many field and laboratory observations concerning the influence of humidity on adult mosquito survival.
dc.publisher Elsevier Science Bv
dc.relation.isbasedon 10.1016/j.ecolmodel.2006.12.003
dc.title Analysis of environmental factors influencing the range of anopheline mosquitoes in northern Australia using a genetic algorithm and data mining methods
dc.type Journal Article
dc.parent Ecological Modelling
dc.journal.volume 3-4
dc.journal.volume 203
dc.journal.number 3-4 en_US
dc.publocation Amsterdam, Netherlands en_US
dc.identifier.startpage 375 en_US
dc.identifier.endpage 386 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0501 Ecological Applications
dc.personcode 100146
dc.personcode 997833
dc.personcode 960052
dc.percentage 100 en_US
dc.classification.name Ecological Applications en_US
dc.classification.type FOR-08 en_US
dc.description.keywords ecological niche modelling, genetic algorithms, data mining, mosquitoes, GARP, CART, KnowledgeSeeker en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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