Infrastructure Engineering - Research Publications
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ItemBridging SDI design gaps(Centre of Geo-Information Technologies (cGIT), 2006)The environment we inhabit is integrated and to properly manage the environment it is necessary to look at all environmental components and making multi-criteria decision about environment mostly needs an integrated view of built and natural environmental components to better interpret it.Despite the integrated nature of environment and requirements of users to integrate different components of environment, information about different elements of environment is being collected and managed by fragmented agencies under different and mostly inconsistent policies and standards to satisfy their own needs –for a single discipline- with little attention to the broad range of users – a multi-disciplinary approach. This fragmentation results in heterogeneity of technical and non-technical issues surrounding integration of datasets.An SDI is an initiative to facilitate the cooperation among all stakeholders and the interaction with standards and technological components and one of its objectives is to facilitate the integration of multi-source spatial data sets.This paper aims to address different issues connected to the integration of multi-source data sets in order to better serve different communities through their SDI initiatives and also a better management and sharing of their spatial data. The paper aims to discuss both technical and non-technical issues related to the integration of multi-source data sets in alignment with an ongoing research project devoted to developing models, guidelines and associated tools to facilitate the integration of multi-source datasets within an SDI.
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ItemSnapshot of SDI Development in Australia: Models, Partnerships and Lead Agencies Advancing Implementation( 2002)Australia is entering a new era for spatial data infrastructure (SDI) demonstrated by the unification of prime sectors of the spatial information industry and a renewed Government focus on spatial information. A spatial information stock take is required to review progress to date and evaluate current directions. SDI is deemed essential for the provision of services to support modern society's information needs and can be considered in the same manner as other public service infrastructure such as roads and utilities.This paper will evaluate progress since the release of ANZLIC's (1996) model for a SDI for Australia and New Zealand, identify the agencies driving SDI in Australia and will highlight key initiatives contributing to the ASDI development. Selected countries with advanced National Spatial Data Infrastructure (NSDI) programs will also be discussed in relation to developments of the SDI model within Australia. The paper contributes to research conducted by the Centre for Spatial Data Infrastructures and Land Administration at the University of Melbourne on SDI and to a new project being undertaken to develop a methodology to map the complex nature of the institutional arrangements and partnerships that support NSDI with particular focus on the ASDI.
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ItemThe Nature of Regional Spatial Data Infrastructures( 1999)Today, more than ever, it is important to look beyond our national boundaries. The world as we know it ischanging. Economies worldwide are undergoing a process of profound and continuing structural change,and the global village is becoming a reality driven by information and communication technologies.With this background, many countries throughout the world believe they can benefit both economically andenvironmentally from better management of their spatial information by taking a perspective that starts at alocal level and proceeds through state, national and regional levels to a global level. This has resulted in thedevelopment of the Spatial Data Infrastructure (SDI) concept at these levels, with the National SDI andGlobal SDI receiving much attention.While there is increasing interest being given to Regional SDIs, such as promoted by the PermanentCommittee on GIS Infrastructure for Asia and the Pacific (PCGIAP) and the European UmbrellaOrganisation for Geographic Information (EUROGI), and a recognition that these Regional SDIs willpromote economic development and environmental management within these regions, the concept andjustification of Regional SDI is still not clear. The purpose of this paper is to describe the nature of RegionalSDI and its benefits. Moreover, the paper will review the difficulties inherent in RSDI development and willsuggest some factors for the success of a RSDI initiative.
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ItemSpatially Enabled Societies: Asia and the Pacific(Leuven University Press, 2010)
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ItemImplementing a Municipal SDI with Service Oriented Architecture(GSDI 12, 2010)
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ItemSDI for collaborative health services planning(GSDI Association, 2009)
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ItemSDI governance bridging the gap between people and geospatial resources( 2009)Organisational arrangements have long been recognised as a critical enabler and fundamental component of Spatial Data Infrastructure (SDI). More recently, the term “governance” has become increasingly used to refer to aspects of institutional frameworks that support SDI. However, given the polysemous nature of the term and the evolving nature of approaches to implementing SDI, it not clear exactly what is meant by the term “SDI governance” and thus the scope, nature and challenges of governance are not well understood. Through an exploration of concepts and model of governance in a variety of contexts, a conceptual model of SDI governance is being developed. An investigation of practical realities of governance in four Australian SDI initiatives has been used to inform the development of this model. This paper provides an overview of the concepts of governance, presents some key findings from the Australian SDI cases studies; and describes an initial conceptual model of governance.
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ItemDeveloping a seamless SDI model across the land-sea interface( 2007)A more integrated and holistic approach to management of spatial information relating to coastal and marine environments is needed and this can be facilitated by the creation of a Spatial Data Infrastructure (SDI) on a seamless platform. There is a growing and urgent need to create a seamless SDI model that bridges the gap between the terrestrial and marine environments, creating a spatially enabled land-sea interface to more effectively meet sustainable development objectives. This paper discusses the principles and concepts followed by introduction to issues and challenges that must be overcome in developing an overarching architecture for a seamless SDI that allows access to and interoperability of data from marine, coastal and terrestrial environments.
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ItemBuilding the spatial data infrastructure through data sharing: measuring progress within Australian local and state government jurisdictions( 2007)In the past decade efforts to develop spatial data infrastructures (SDIs) have migrated from the initial “top-down” national approaches to “bottom-up” and cross jurisdictional efforts at the sub-national level. Although national SDI developments are fundamental to building the SDI culture and policy, it is sub-national and local SDI development that will deliver the immediate benefits to citizens and the community. In countries which have highly decentralised federations of states such as Australia, United States and Canada, the challenge is how to co-ordinate the literally thousands of often small local government jurisdictions which are important contributors to state and local SDIs. In recent years, a number of co-operative spatial data sharing partnerships between local and state government have emerged in Australia. These partnerships are relatively new initiatives that have been established to facilitate more effective sharing of spatial data between organisations, but also as a mechanism to contribute to SDI development. To maximise the benefits from these partnerships it is essential to understand the factors that contribute to their successful operation and sustainability. This paper investigates these collaborative arrangements and examines the motivations, mechanisms and frameworks for data sharing between local and state governments.
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ItemSDI to Facilitate a Spatially Enabled Society(Spatial Sciences Institute, 2007)