Infrastructure Engineering - Research Publications
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ItemSpatial Data Infrastructure: an integrated architecture for Location Based Services( 2002-12)Trends in wireless communication towards the development of smaller, faster, cheaper devices are contributing to a radical change in the spatial information user base. With the ability to access information using a mobile phone or a Mobile Internet enabled Personal Digital Assistant, combined with the capability to determine the position of mobile devices, a range of applications known as Location Based Services (LBS) are emerging. These services provide relevant information to users based on the position of their mobile device. This information can be both spatially and non-spatially related, but must be presented in a useful way. The broader issues of LBS, that revolve around enabling a range of users to access spatial information, can be considered under the domain of Spatial Data Infrastructures (SDI). Since the SDI components of people, data, access networks, policy and technical standards parallel the issues of LBS, it is proposed that the SDI concept be augmented to support the development and deployment of wireless LBS applications. This paper describes a proposed case study approach for LBS development so as to determine how SDI needs to adapt in order to support these emerging applications.
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ItemDirections for the Future of SDI Development( 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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ItemFundamental partnerships driving Spatial Data Infrastructure development within Australia( 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).