Infrastructure Engineering - Research Publications
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ItemThe dynamic nature of spatial data infrastructures: a method of descriptive classification( 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.
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ItemLocal and State-based Collaboration: The Key to Unlocking the Potential of SDI(The Institution of Surveyors Australia, 2003)
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ItemMaking the SDI concept relevant to Asia-Pacific countries: the PCGIAP experience( 2005)Development of regional spatial data infrastructures (SDI) is one of the distinctive features ofthe last decade. This is mainly due to the need for seamless consistent spatial data beyondnational boundaries to support decision-making at a multi-national level. The development ofthese regional initiatives began with the creation of regional SDI coordination groups such asthe Permanent Committee for GIS Infrastructure for Asia and the Pacific (PCGIAP), formedin 1995 under the auspices of the United Nations Regional Cartographic Conference for Asiaand the Pacific (UNRCC-AP).The aims of the PCGIAP are to maximise the economic, social and environmental benefits ofgeographic information in accordance with Agenda 21 by providing a forum for nations fromthe Asia and Pacific region (the largest region in the world) to:Share experiences and cooperate in the development of a regional SDI;Contribute to the development of the global SDI; and,Participate in any other form of activity such as education, training, and technologytransfer at different jurisdictional levels.Over the past ten years, the PCGIAP has confronted a number of issues associated withbuilding a regional SDI. The group has also assisted member nations in their national SDIinitiatives.This paper describes some of the experiences of the PCGIAP, in particular:The establishment of a new geodetic datum for the region;The benchmarking of cadastral systems;The conceptualization of a framework for marine zone administration in the future; and,The strategic issues confronting the PCGIAP at the start of its 2nd decade of operation.
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ItemDiscuss: a soft computing approach to spatial disaggregation in economic evaluation of public policies( 2006)For more than three decades cost-benefit analysis (CBA) has been used in many countries as an important tool for evaluating public policies. More recently, participation of stakeholders in CBA processes has become an important issue for governments. However, CBA by itself does not provide a good environment for stakeholder participation. A major reason for this is the lack of spatial disaggregation in traditional CBA. In order to allow greater public participation, a GIS based approach is proposed. This approach uses a Geocomputational system, which incorporates soft computing theory with expert systems in a geographic information systems (GIS) environment. It is designed to generate representations of environmental, economic and social policy outcomes according to the perceptions of the stakeholders and after the CBA results have been obtained. The methodology proposed for modelling impacts in cases where uncertainty exists uses the soft computing theory of fuzzy logic to generate a raster map based on spatial inputs provided by the stakeholders involved in the decision process. This computer based system, called DISCUSS (Decision Information System for Community Understanding of Spatial Scenarios), is intended for situations where the government chooses to evaluate a policy using CBA and desires to encourage public participation in evaluating the results identified by the economic methodology. DISCUSS and the maps that it produces are being tested in a public participation case study with long-term impacts over a large area of south-eastern Australia.