Infrastructure Engineering - Research Publications

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    Spatial data quality capture through inductive learning
    DUCKHAM, MATT ; Drummond, Jane ; Forrest, David (Springer Verlag (Germany), 2000)
    The relatively weak uptake of spatial error handling capabilities by commercial GIS companies and users can in part be attributed to the relatively low availability and high costs of spatial data quality information. Based on the well established artificial intelligence technique of induction, this paper charts the development of an automated quality capture tool. By learning from example, the tool makes very efficient use of scarce spatial data quality information, so helping to minimise the cost and maximise availability of data quality. The example application of the tool to a telecommunications legacy data capture project indicates the practicality and potential value of the approach.
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    The need for improved forms of conceptual models in Geographical Information System development
    Williamson, Ian P. ; Hunter, Gary J. ( 1991)
    While numerous books have been published in the past two decades on the subject of information system development methodologies, it is now recognized that these techniques need modification to suit the peculiar nature of Geographical Information Systems (GIS). However, regardless of how system development life-cycles might be varied to suit GIS, the use of models remains a common feature of the development of any information system. It is argued that high-level conceptual models, as used in the initial system evaluation phase, are perhaps the most important type of model in terms of providing an overall picture of what the system is designed to achieve -- yet they remain the least understood. The aim of this paper is to provide a greater understanding of their role and purpose and to highlight their importance in effective GIS development and implementation. Suggestions are also made for improving the form and content of conceptual models so that their meaning becomes clearer
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    Implementing LIS/GIS from a customary land tenure perspective: the Fiji experience
    Rakai, Mele E. T. ; Williamson, Ian P. ( 1995)
    This paper briefly reviews Fiji's national land information system (LIS) strategy and the major land and geographic information systems (LIS/GIS) initiatives that have been under way in the major government organisations in Fiji up to April 1994. It also describes and attempts to examine the impact that these initiatives have had on the people who continue to live under Fiji's customary land tenure systems.
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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.