Infrastructure Engineering - Research Publications

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    The dynamic nature of spatial data infrastructures: a method of descriptive classification
    Chan, Tai On ; Feeney, Mary-Ellen ; RAJABIFARD, ABBAS ; Williamson, Ian P. ( 2001)
    Spatial Data Infrastructure (SDI) is understood and described differently by stakeholders from different disciplines and different administrative/political levels. However, current SD Idefinitions are individually insufficient to describe the dynamic and multi-dimensional nature of SDI. Despite the international interest and activities toward SDI development, SDI remains very much an innovation even among practitioners. There are still doubts regarding the nature and identities of SDI, particularly in connection with how it evolves over time to meet user needs. Asa starting point a means to describe SDI’s multi-dimensional capacity as an inter- and intra- jurisdictional spatial information framework is required. The aim of this paper is to better understand and describe the nature of SDI and its components. A method to classify the perceived roles of SDI is identified. The method is extrapolated from a technique to describe different perspectives of Geographical Information System (GIS) diffusion, based on identified parallels between GIS and SDIs. The methodology may facilitate description and understanding of the SDI technological and user environment, by promoting insight into the dynamic roles of SDI.
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    The role of institutional mechanisms in spatial data infrastructure development that supports decision-making
    Feeney, MEF ; Williamson, IP ; Bishop, ID (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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    Directions for the Future of SDI Development
    RAJABIFARD, ABBAS ; Feeney, Mary-Ellen F. ; Williamson, Ian P. ( 2002)
    Understanding the role of Spatial Data Infrastructure (SDI) is important to acceptance of the concept and its alignment with spatial industry objectives. Much has been done to describe and understand the components and interactions of different aspects of SDIs and their integration into the transactions of the spatial data community. However, what fails to be received through these perceptions, is that the role SDI plays is by necessity greater than the sum of individual components of SDI and stakeholder groups.SDI is fundamentally about facilitation and coordination of the exchange and sharing of spatial data between stakeholders in the spatial data community. To this end, the authors propose that the roles of SDI have been pursued through different approaches: product-based and process-based. Both approaches have value, but contribute to the evolution, uptake and utilisation of the SDI concept in different ways. They provide different frameworks for dealing with SDI mandates for the objectives of spatial data access and sharing. This paper reviews the nature and concept of SDI, including the components, which have helped to build understanding about the importance of an infrastructure to support the interactions of the spatial data community. Several examples of how SDIs have been described are offered to aid understanding of their complexity. The need for descriptions to represent the conflict between the role and deliverables of an SDI and thus contribute to a simpler, but dynamic, understanding of the complexity of the SDI concept, are postulated. The transition between the understanding of SDIs from product-based to process-based approaches is investigated, with a review of the positions taken by current SDI initiatives throughout the world. A model of how these approaches provide a framework to meet the mandates of the relevant jurisdictions is proposed, and factors contributing to the success of such positions in the future are discussed.
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    Fundamental partnerships driving Spatial Data Infrastructure development within Australia
    Warnest, Mathew ; Feeney, Mary-Ellen ; RAJABIFARD, ABBAS ; Williamson, Ian P. ( 2002)
    Recent models of Spatial Data Infrastructures (SDIs) are overly simplistic and fail to address the dynamic nature, complexity, inter- and intra-jurisdictional nature and important role of partnerships. There is a need by governments and administrators to better understand the complex nature of SDIs to facilitate implementation of this form of infrastructure in an information society. This paper aims to build upon current SDI research at local, state and regional levels to better understand the complex and multi-dimensional nature at a national level, while building onthe principles of Hierarchical Spatial Reasoning (HSR) theory. To date little work has been undertaken on mapping these partnerships particularly at the national level within a country that is a federation of states. This paper will introduce the notion that better understanding of the partnerships that support SDI will enable administrators of spatial information to implement this type of infrastructure into the future. The paper will also highlight new research being conducted by the Centre for Spatial Data Infrastructures and Land Administration at the University of Melbourne on the Australian SDI (ASDI) and the aims to develop a methodology to map the complex nature of national SDI (NSDI).
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    The cultural aspects of sharing and dynamic partnerships within an SDI hierarchy
    Rajabifard, A ; Feeney, ME ; Williamson, IP (Informa UK Limited, 2002-01-01)
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    Are SDIs serving the needs of local planning? case study of Victoria, Australia and Illinois, USA
    Nedovic-Budic, Zorica ; Feeney, Mary-Ellen F. ; RAJABIFARD, ABBAS ; Williamson, Ian P. (Elsevier Ltd., 2004)
    National spatial data infrastructures (SDI) have been built throughout the 1990s in bothAustralia and the USA, conceptualized and initialized by the Australia New Zealand LandInformation Council (ANZLIC) and the Federal Geographic Data Committee (FGDC),respectively. Numerous SDI-related activities at the national, state, and local levels in bothcountries share similar core objectives to stimulate coordinated collection, dissemination, anduse of spatial data by public and private entities. This coordination is to result in digitaldatabases that would be easily accessible and seamless across administrative and organizationalboundaries and that would contribute social, environmental, and economic benefits tothe involved communities. Improved information resources, at the local level in particular, areexpected to aid decision-making process and to enhance cooperation between government andnon-government sectors. This paper raises a question about the effectiveness of existing SDIdevelopments and about outcomes of the related interactions between the local, state, andnational levels. Case studies of local governments in Victoria, Australia and Illinois, USA areused to evaluate the utility of existing SDIs to local planning activities and to make suggestionsfor increasing their effectiveness.
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    Researching frameworks for evolving Spatial Data Infrastructure
    Feeney, M-E. F. ; Williamson, I. P. ( 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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    Future applications of GIS: depth vs breadth: the case of the Land Use Profiler
    Feeney, M-E. F. ; Escobar, F. J. ; Williamson, I. P. ( 2000)
    As society becomes increasingly spatially enabled, Geographical Information Systems (GIS) will evolve, and geographical information will be embedded in most information applications and services that society uses. This trend presents many opportunities and challenges. It means GIS technologies will facilitate 'more' by becoming' less'. As the general use of GIS increases, the visible appearance of GIS decreases, as it becomes an integrated part of organisational and societal information systems. The trend is for GIS to move from a multi-use tool for project and departmental systems, to specific product systems for multiple users, multiple applications and multiple purposes. These new systems are not all technically GIS, but are systems with embedded geographic knowledge, and the data and tools to capitalise upon the capabilities and to facilitate distribution. The Land Use Profiler (LUP) system is an easy to use spatial analysis tool developed by the Department of Infrastructure in Victoria. It constitutes an illustration of these trends in GIS. Developed to locate areas of land best suited to particular land-use purposes, the LUP is a tool being piloted to facilitate preliminary investment decisions. The LUP adopts user-friendly interfaces, easy-to-assemble query structures and GIS embedding to facilitate broad-spectrum inquiries across a number of datasets using a 'what-if-analysis'. The use and implementation of such a tool raises interesting issues about the transparency of spatial information processing. It reinforces the developmental trends of GIS and provides an indication where these trends may lead.
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    Are SDIs serving the needs of local planning?: case studies of Victoria, Australia and Illinois, USA
    Nedovic-Budic, Z. ; Feeney, M-E. F. ; Rajabifard, A. ; Williamson, I. P. ( 2001)
    National spatial data infrastructures (SDI) have been initiated and built throughout 1990s in both Australia and the U.S., initiated and coordinated by the Australia New Zealand Land Information Council (ANZLIC) and the Federal Geographic Data Committee (FGDC), respectively. Numerous SDI-related activities at the national, state, and local level in both countries share similar core objectives, which are to stimulate coordinated collection, dissemination, and use of spatial data by public and private entities. This coordination is to result in digital databases that would be easily accessible and seamless across administrative and organizational boundaries and that would help secure social, environmental, and economic benefits to the involved communities. The improved information resources at the local level in particular are expected to contribute to sustainable urban development and to enhance the cooperation between government and nongovernment sectors. This paper raises the question about the actual effectiveness of the existing SDI developments and about the outcomes of the related interactions between the local, state, and national levels. Case study of local governments in Victoria, Australia and Illinois, U.S. are used to evaluate the utility of existing SDIs to local planning activities and to offer recommendations for increasing their effectiveness in supporting sustainable development.
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    Spatial data infrastructure frameworks to support decision-making for sustainable development
    FEENEY, M ; Rajabifard, A ; WILLIAMSON, IP (Geography Institute of Colombia, 2001)