Infrastructure Engineering - Research Publications
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ItemResearching frameworks for evolving Spatial Data Infrastructure( 2000)Technology 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.
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ItemSpatial data infrastructure frameworks to support decision-making for sustainable development(Geography Institute of Colombia, 2001)
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ItemLand administration and spatial data infrastructures: trends and developments( 2001)Historically, the strength of a land surveyor lies in the ability to use and understand bothmeasurement science and land management, and to apply these skills in a wide range ofland related activities ranging from land development to environmental management. Inresponse to the theme of this conference "2001 - A Spatial Odyssey" it is appropriate toconsider how these skills have evolved and are evolving within the broad surveyingdiscipline.It is proposed that a major dimension of the measurement science skill is reflected in thegrowing importance of spatial data infrastructures (SDI) and the land related skills arereflected in the re-discovery that the role of land administration plays in serving economic,environmental and social priorities in society. While SDI play a much broader role thansupporting land administration, land administration could be considered a key driver in SDIevolution.The objective of this paper is to identify SDI and land administration trends anddevelopments by drawing on the research of past and current projects undertaken byresearchers in the Centre for SDI and Land Administration at The University of Melbourne.The paper identifies some new research areas being planned by the Centre.
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ItemThe Cultural Aspects of Sharing and Dynamic Partnershipswithin an SDI Hierarchy( 2002)The need to create multi-participant, decision-supported environments to address the issues of sustainable development and improving the quality of life creates a growing need to organise data across disciplines and organisations through different forms of spatial data infrastructure (SDI). This infrastructure is fundamentally a concept about facilitation and coordination of the exchange and sharing of spatial data between stakeholders from different jurisdictional levels in the spatial data community. The concept is well explained as an integrated, multi-levelled hierarchy of interconnected SDIs based on partnerships at corporate, local, state/provincial, national, regional (multi-national) and global (GSDI) levels. The creation of such an infrastructure and understanding the role of dynamic partnerships within an SDI hierarchy are essential to develop any SDI initiative. This paper reviews the nature and concept of SDIs, including the SDI hierarchy, which has helped to build understanding about the importance of the relationships within different levels of SDI, to support the interactions and dynamic nature of partnerships between spatial data communities. The role that human nature plays in any endeavour based on interaction and sharing makes cultural and social factors within a business environment important to the acceptance of the SDI concept and its alignment with spatial industry objectives. Further, the importance of establishing a culture for sharing as well as understanding the dynamic partnerships necessary to support such a culture is highlighted, and three classes of factors influencing SDI development are identified. It is argued that the adoption and implementation of these factors and selection of a proper model for SDI development can assist SDI coordinating agencies to overcome the problem of low participation and speed up the progress in the development of SDI initiatives.