Infrastructure Engineering - Research Publications
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ItemSupporting personal world-views in an envisioning system(ELSEVIER SCI LTD, 2005-12)
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ItemThe role of institutional mechanisms in spatial data infrastructure development that supports decision-making(Australian Institute of Cartographers, 2002-01-01)Improved economic, social and environmental decision-making are principal objectives for investing in the development of Spatial Data Infrastructure (SDI) at all political and administrative levels. Indeed, Resolution 7 of the recent 5th Global Spatial Data Infrastructure (GSDI) conference in Cartagena, Colombia (GSDI, 2001) argued that the purpose of the GSDI is to improve the availability, accessibility, and applicability of spatial information for decision-making. While accepting the development of institutional mechanisms to support decision-making by promoting the availability and accessibility of spatial information as part of SDI institutional frameworks, many institutional mechanisms fall short of addressing the application of spatial data to decision-making. From an institutional perspective, the motivation for SDI implementation is the impracticality of a single organisation producing and maintaining the wide variety of data and models needed to inform many decisions, resulting in a need for sharing of data and a range of analytical and display tools. This is being seen particularly in the natural resource, environment and government sectors in Australia. These sectors are utilising institutional mechanisms to support spatial decision-making processes in a number of different ways including the development of community resource centres, departmental development of decision support tools, as well as the development of atlases, spatial data directories and on-line land information services. In Australia these institutional mechanisms are playing a crucial role in providing the building blocks for the institutional framework of SDIs and address different levels of the decision-making process. This paper looks at how availability and accessibility of spatial data are being achieved by reviewing examples from each of the institutional mechanisms mentioned. The variety of decision-making levels supported by these different initiatives is reviewed in terms of decision process theory. The paper concludes with a discussion of the implications of the approaches to developing institutional support for decision-making as part of SDI development, as well as a consideration of directions for SDI development in the future to support spatial decision-making processes.
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ItemLinking GIS with real-time visualisation for exploration of landscape changes in rural community workshops(Springer Science and Business Media LLC, 2006-04-01)
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ItemExploring landscape changes using an envisioning system in rural community workshops(ELSEVIER SCIENCE BV, 2007-03-02)
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ItemSubjective responses to simulated and real environments: a comparison(ELSEVIER, 2003-11-15)
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ItemDiscuss: a soft computing approach to spatial disaggregation in economic evaluation of public policies( 2006)For more than three decades cost-benefit analysis (CBA) has been used in many countries as an important tool for evaluating public policies. More recently, participation of stakeholders in CBA processes has become an important issue for governments. However, CBA by itself does not provide a good environment for stakeholder participation. A major reason for this is the lack of spatial disaggregation in traditional CBA. In order to allow greater public participation, a GIS based approach is proposed. This approach uses a Geocomputational system, which incorporates soft computing theory with expert systems in a geographic information systems (GIS) environment. It is designed to generate representations of environmental, economic and social policy outcomes according to the perceptions of the stakeholders and after the CBA results have been obtained. The methodology proposed for modelling impacts in cases where uncertainty exists uses the soft computing theory of fuzzy logic to generate a raster map based on spatial inputs provided by the stakeholders involved in the decision process. This computer based system, called DISCUSS (Decision Information System for Community Understanding of Spatial Scenarios), is intended for situations where the government chooses to evaluate a policy using CBA and desires to encourage public participation in evaluating the results identified by the economic methodology. DISCUSS and the maps that it produces are being tested in a public participation case study with long-term impacts over a large area of south-eastern Australia.
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ItemNo Preview AvailablePredicting the scenic beauty value of mapped landscape changes in a mountainous region through the use of GIS(SAGE PUBLICATIONS LTD, 2007-01)
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ItemNo Preview AvailableAssessment of Visual Qualities, Impacts, and Behaviours, in the Landscape, by Using Measures of Visibility(SAGE Publications, 2003-10)The application of information technology to landscape analysis dates back to the early work in computer-based mapping. Indeed, much of the early development of what became geographic information systems (GIS) and three-dimensional landscape simulation was undertaken by landscape architects. Mapping of viewsheds quickly became a key element of the landscape-planning process. The process was applied to determination of both view characteristics and potential visual impacts. The algorithms for viewshed analysis were incorporated into GIS products at an early stage in their evolution, but have evolved very little since despite the identification of significant potential enhancements. Extension of the simple binary mapping of GIS has therefore depended on specific developments by individual researchers. These GIS extensions have generated models of visual quality and visual impact using mapped variables. More recently it has become apparent that the essentially two-dimensional approach to view analysis afforded by GIS is inadequate in situations with strong three-dimensional elements. The upsurge in agent-based modeling has demanded a new standard in computer-based visual interpretation of landscape. Both the historic role of GIS-based visual modeling and the potential of 3D-based visual modeling are reviewed.