Infrastructure Engineering - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/347

Filters

2000 - 2001 2
Reset filters

Settings
Statistics
Citations
End date: 2005 × Start date: 2000 × Type: Journal (Paginated) × Subject: GIS ×

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    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.
  • Item
    Thumbnail Image
    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.