Infrastructure Engineering - Research Publications
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ItemTrends in land information system administration in AustraliaWilliamson, Ian P. ( 1986)Current land information system (LIS) activities and trends, at the Commonwealth, state and local government levels in Australia, are briefly reviewed. The reasons for the pre-occupation with parcel (cadastral) data are discussed while recognising that the challenge for the next decade is the integration of resource, environmental and socio-economic data into parcel-based systems. LIS models are reviewed with particular emphasis on LIS administration in the Australian context.
ItemUse of the Internet in the diffusion of GIS for General Practices in Victoria, AustraliaEscobar, Francisco J. ; Williamson, Ian P. ; GREEN, JULIE ; WATERS, ELIZABETH ( 1998)This paper describes the delivery of a Geographic Information System (GIS) product through the Internet for primary health care services provided at general medical practices in the State of Victoria, Australia. The paper details a collaborative research project whose principal aim was to develop a methodology for creating a GIS as a decision support system, for more effective use of information about population and health services at a given location. The methodology employed is based on the ability of a GIS to establish interrelationships between a combination of health, geographic and demographic data. An overview is given of GIS as a technology which allows geospatial data to be analysed, displayed and queried. The results of the project can be demonstrated through a live presentation, detailing specific and generic reasons for the choice of the Internet as the preferred delivery mechanism. The paper concludes with the identification of important issues related to the research and the use of the World Wide Web for Geographic Information Systems and Health.
ItemDevelopment of a 3D ePlan/LandXML visualisation system in AustraliaSHOJAEI, DAVOOD ; RAJABIFARD, ABBAS ; Kalantari, Mohsen ; Bishop, Ian D. ; AIEN, ALI (International Federation of Surveyors, 2012)The importance of managing properties and people’s interests in complex multi-level developments is increasing, due to population growth and shortage of land in urban areas. As a result, cadastral systems are under pressure to change the way they capture, register and visualise 3D data of these multi-level scenarios. However, interests in land and properties in Australia are registered and visualised through subdivision plans. This visualisation method is often paper-based and includes 2D floor plans, cross-sections and isometric diagrams. These drawings are used to represent 3D properties and associated rights. Although this has been a common practice for experts such as land registration officers and cadastral surveyors, non-expert users such as the public, lawyers and real-estate agents often find these methods difficult to understand and interpret particularly in complex high rise buildings. In order to visualise and represent properties and associated rights in 3D, a web-based prototype system was designed and developed utilising various technologies to enable a wide variety of users to explore 3D ownership rights. The prototype system’s architecture is based on a three-layer framework including, data access, process and presentation layers to represent cadastral data such as Rights, Restrictions and Responsibilities (RRRs). For developing the prototype system, the subdivision plan components and the electronic surveying and subdivision plans (ePlan) were studied and analysed. In this web-based prototype system, 3D LandXML files are converted to KML data format using Extensible Stylesheet Language Transformations (XSLT) and are visualised in the Google Earth API. Furthermore, attribute information such as bearing and distance, attached to subdivision plans, is also represented in this system. Although this prototype system is not able to visualise underground RRRs, it has potential to represent interests in land and properties through the Internet. This paper concludes that ePlan data model is able to contain 3D volume objects to store 3D interests in land and properties.
ItemExploring the key areas of spatial metadata automation research in AustraliaOLFAT, HAMED ; Kalantari, Mohsen ; RAJABIFARD, ABBAS ; Williamson, Ian P. ; Pettit, Christopher ; Williams, Stephen (Leuven University Press, 2010)Improving the spatial metadata management process to facilitate data discovery, access and retrieval through an SDI platform has been the goal of a number of organizations at different jurisdictional levels in Australia. A current linkage research project titled “Spatial Metadata Automation” is being conducted at the University of Melbourne in conjunction with some industry partners. This research project aims to explore different approaches for automating spatial metadata so that the process of creating and updating spatial metadata – where feasible – becomes automatic. As part of the project an online questionnaire was designed and distributed within the major organizations dealing with spatial data in Australia to assess the users’ needs regarding metadata automation and also the current status of the activities in metadata creation and updating. This paper presents the results of the assessment process and explores the key areas of spatial metadata automation research in Australia. It also reviews some of the more important initiatives regarding spatial metadata in this country and explains the characteristics and framework of the current research. The paper then discusses the structure of the questionnaire and the results of the responses analysis. Finally, the findings, future needs and research questions are presented.
ItemSDI governance bridging the gap between people and geospatial resourcesBox, Paul ; RAJABIFARD, ABBAS ( 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.
ItemBuilding the spatial data infrastructure through data sharing: measuring progress within Australian local and state government jurisdictionsMCDOUGALL, KEVIN ; RAJABIFARD, ABBAS ; Williamson, Ian Philip ( 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.