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dc.contributor.authorLi, Terryen_US
dc.contributor.authorCorcoran, Jonathanen_US
dc.date.accessioned2017-05-03T13:12:04Z
dc.date.available2017-05-03T13:12:04Z
dc.date.issued2011en_US
dc.date.modified2012-02-14T04:04:27Z
dc.identifier.issn18365655en_US
dc.identifier.doi10.1080/14498596.2011.623343en_US
dc.identifier.urihttp://hdl.handle.net/10072/42528
dc.description.abstractThis research develops methodologies to explore the future settlement patterns of the population by applying a dasymetric approach to step down the regional population forecasts to smaller geographical units. This research extends the dasymetric method beyond its current simple form to techniques that incorporate more complex density assumptions to disaggregate the spatial data. Several dasymetric techniques are evaluated to spatially disaggregate population data over the study area and to assess their relative accuracies. The outputs of the method are population forecasts across the smaller areas that can be used to derive a deeper understanding of future urban structure.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherTaylor & Francis Asia Pacificen_US
dc.publisher.placeSingaporeen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom203en_US
dc.relation.ispartofpageto221en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalJournal of Spatial Scienceen_US
dc.relation.ispartofvolume56en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchUrban and Regional Studies (excl. Planning)en_US
dc.subject.fieldofresearchcode160404en_US
dc.titleTesting dasymetric techniques to spatially disaggregate the regional population forecasts for South East Queenslanden_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Environmenten_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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