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dc.contributor.authorNINO-RUIZ, MARCOSen_US
dc.contributor.authorPETTIT, CHRISTOPHERen_US
dc.contributor.authorTOMKO, MARTINen_US
dc.contributor.authorStimson, Robert J.en_US
dc.contributor.authorSinnott, Richard O.en_US
dc.date.accessioned2014-05-22T06:49:08Z
dc.date.available2014-05-22T06:49:08Z
dc.date.issued2012en_US
dc.identifier.citationNino-Ruiz, M., Pettit, C., Tomko, M., Stimson, R. J. & Sinnott, R. O. (2012). AURIN What If?: decision support for projections of land use allocations. In eResearch Australasia: emPower eResearch, Sydney, Australia.en_US
dc.identifier.urihttp://hdl.handle.net/11343/32702
dc.descriptionThis is a paper from eResearch Australasia: emPower eResearch 2012. http://conference.eresearch.edu.auen_US
dc.description.abstractIt is increasingly important to understand land use issues to fully assess the effects of environmental change and urban regeneration scenarios. Land use decisions may have a profound impact on biodiversity, reduced land productivity due to soil degradation, and contribute to land and water shortage (Searchinger et al., 2008). A scenario-based Land Use Allocation (LUA) is one strategy for understanding land use options (Bryan et al., 2011; Fiorese and Guariso, 2010). LUA can be broadly defined as the medium to long-term strategic planning process by which land managers consider diverse environmental, social and economic factors, before choosing how land should be allocated and used in a given region. In LUA, an assessment is typically made to identify the most appropriate multidimensional pattern to achieve a desirable goal incorporating spatial, biophysical, economical and political dimensions (Malczewski, 2004). Frequently, environmental models and research tools that attempt to support these projections of land use allocations are built upon frameworks and programming languages which are tailor-made for a particular purpose, and not easily extended to support a wider sharing of resources and collaborative work (Li, 2007). The AURIN project has enhanced one leading scenario optimization based tool: What If?™(Klosterman, 1999), and made this a core part of its e-Infrastructure. This paper describes the What If? tool and demonstrates its application in AURIN.en_US
dc.languageengen_US
dc.subjectAustralian Urban Research Infrastructure Networken_US
dc.subjectAURINen_US
dc.subjectland useen_US
dc.titleAURIN What If?: decision support for projections of land use allocationsen_US
dc.typeConference Paperen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentDepartment of Computing and Information Systemsen_US
melbourne.publication.statusPublisheden_US
melbourne.source.titleeResearch Australasia: emPower eResearchen_US
melbourne.source.locationconferenceSydney, Australiaen_US
dc.description.sourcedateconference28 October – 2 Novemberen_US
melbourne.elementsidNA
melbourne.contributor.authorNINO-RUIZ, MARCOS
melbourne.contributor.authorPettit, Christopher
melbourne.contributor.authorTomko, Martin
melbourne.contributor.authorStimson, Robert
melbourne.contributor.authorSinnott, Richard
melbourne.accessrightsOpen Access


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