Show simple item record

dc.contributor.authorFeeney, M-E. F.en_US
dc.contributor.authorWilliamson, I. P.en_US
dc.date.accessioned2014-05-22T10:32:56Z
dc.date.available2014-05-22T10:32:56Z
dc.date.issued2000en_US
dc.date.submitted2005-09-30en_US
dc.identifier.citationFeeney, M-E. F., & Williamson, I. P. (2000). Researching frameworks for evolving Spatial Data Infrastructure. In, Proceedings, SIRC 2000: 12th Annual Colloquium of the SI Research Centre, University of Otago, Dunedin, New Zealand.en_US
dc.identifier.urihttp://hdl.handle.net/11343/33905
dc.description.abstractTechnology and infrastructure both play key roles in achieving the optimisation of spatial data to support decision-making, in the spatial data community. Many institutional and technical initiatives have arisen in response to the increase in quantity and improving quality of spatial data to help users to structure the influx. However, there are persistent challenges to integrating institutional and technical solutions to optimise the utilisation of available spatial data. Embracing and continuing to develop a flexible, methodological, framework for the integration of decision-supporting technologies with infrastructure is fundamental to supporting effective incorporation of spatial data in decision-making. This paper reviews the nature of current developments of Spatial Data Infrastructures (SDIs) and Spatial Decision Support Systems (SDSS) and discusses issues pertinent to the optimisation of spatial data utilisation, access and management to support spatial decision making environments. A research procedure is proposed to investigate the hypothesis that increasing the functionality of SDIs to support the use of spatial data for decision making can be facilitated by developing methods for the integration of SDSS. Literal and meta-level models are developed of the data flows between SDSS, SDIs and decision makers from data gathered via a case study methodology. The research will provide the means for designing a methodological framework that will enable integration of SDSS by SDIs to enhance facilitation of the capacity for spatial data utilisation in decision-making.en_US
dc.formatapplication/pdfen_US
dc.languageengen_US
dc.relation.isversionofhttp://www.geom.unimelb.edu.au/research/SDI_research/en_US
dc.subjectSpatial Data Infrastructure (SDI)en_US
dc.subjectSpatial Decision Support Systems (SDSS)en_US
dc.subjectliteral and meta-level modelsen_US
dc.subjectcase study methodologyen_US
dc.titleResearching frameworks for evolving Spatial Data Infrastructureen_US
dc.typeConference Paperen_US
melbourne.peerreviewNon Peer Revieweden_US
melbourne.affiliation.departmentEngineering: Department of Geomaticsen_US
melbourne.publication.statusPublisheden_US
melbourne.source.titleProceedings, SIRC 2000: 12th Annual Colloquium of the SI Research Centreen_US
melbourne.source.locationconferenceUniversity of Otago, Dunedin, New Zealanden_US
dc.description.sourcedateDecember 10-13th 2000en_US
melbourne.elementsidNA
melbourne.contributor.authorFEENEY, MARY-ELLEN
melbourne.contributor.authorWilliamson, Ian
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record