Infrastructure Engineering - Research Publications
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ItemIssues in Developing Marine SDI(Dept of Survey and Mapping Malaysia, 2004)
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ItemSpatial Data Infrastructure to Facilitate Coastal Zone Management(Coastal CRC, 2004)
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ItemMarine SDI and Cadastre Activities in Asia-Pacific(Coastal CRC, 2004)
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ItemThe Cadastral Template Project( 2004)While many country reports have been compiled in the area of land administration over thelast decade, there has not much attention been given to the basic cadastral issues. As a result,one of the objectives of Working Group 3 "Cadastre" of the PCGIAP is the establishment of acadastral template, which is basically a standard form to be filled out by cadastralorganizations presenting their national cadastral system. The aims are to understand the rolethat a cadastre plays in a state or national SDI and to compare best practice as a basis forimproving cadastres as a key component of SDIs.The work of the PCGIAP-Working Group 3 "Cadastre" is being done in collaboration withCommission 7 "Cadastre and Land Management" of the International Federation ofSurveyors (FIG), which has extensive experience in comparative cadastral studies. Thisarticle describes the creation and the content of the cadastral template and the expectedoutcomes.
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ItemInternational SDI Short Course( 2004)Spatial Data Infrastructure (SDI) is an evolving concept about facilitation and coordination of the exchange and sharing of spatial data between stakeholders from different jurisdictional levels in the spatial data community. In order to develop and maintain such an infrastructure, the international community needs to pay more attention to capacity building. In response to this need, an International SDI Short Course held by the Centre for SDIs and Land Administration, Department of Geomatics, The University of Melbourne from 19-21 November 2003. The course was conducted as a result of Resolution 5 (Capacity Building) of the 16th United Nations Regional Cartographic Conference for Asia and the Pacific (UNRCC-AP) and was further endorsed at the 9th Permanent Committee on GIS Infrastructures for Asia and the Pacific (PCGIAP) meeting in Okinawa, Japan, July 2003.The focus of the course was on Developing Spatial Data Infrastructures. It introduced the concept and hierarchical nature of SDIs as well as discussing some SDI applications, issues and challenges for future SDI initiatives. The structure over the three days was based on the book Developing Spatial Data Infrastructures: from concept to reality, Taylor and Francis, UK.The course provided an understanding of the concept and application of SDI, with a range of speakers giving different perspectives to the concept of SDIs. The practical sessions and discussions throughout the course allowed participants to share knowledge, and were a good opportunity to discover the other participants use and understanding of SDIs in their different jurisdictions and organisations.The key issues that were highlighted concerned data availability, accessibility, and applicability as well as the importance of partnerships among of stakeholders and securing funding for the development, and of ensuring SDIs were user driver, interoperable and integratable. The course finished with a group discussion on the future directions and the k
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ItemDeveloping Spatial Data Infrastructures to Facilitate Industrial and Mining Decision-Makings( 2004)A preliminary step toward achieving decision-making for complex problems has been increasing recognition of the role of spatial information to generate knowledge, provide added value to identify problems, assist in proposing alternatives and defining a course of action, information discovery, access and use (Williamson et al., 2003). The importance of spatial information to support decision-making and management of growing national, regional, and global issues, such as deforestation and pollution, was specifically cited in the 1992 Rio Declaration on Environment and Development and has been made one of the key themes in subsequent meetings of the Commission on Sustainable Development (CSD, 2001). Since the Rio Declaration call to develop strategies to guarantee the existence of all life, not just human life, there has been acknowledgement of the need to integrate environmental and developmental aspirations at all levels of decision-making.Decision problems that involve spatial data and information are referred to as spatial decision problems. Spatial decision problems often require that a large number of feasible alternatives be evaluated on the basis of multiple criteria, thus spatial decisions are multi-criteria in nature (Massam, 1980). Multi-criteria decision-making is more complex than that based on a single criterion, because of the difficulty finding an alternative that dominates all others with respect to all criteria. The number of people involved in the decision-making process also influences the complexity of spatial decision problems (Massam, 1988). Spatial decision problems may be characterised by different preferences with respect to the decision consequences and the relative importance of the evaluation criteria. The incorporation of values and preferences into decision-making models is an important function of multi-criteria analysis in complex decision problems, and often requires the aid of sophisticated technologies to structure the decision pr
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ItemSDI Development and Capacity Building(Global Spatial Data Infrastructure Association, 2004)
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ItemDeveloping Spatial Data Infrastructure to Facilitate Disaster Management(National Cartographic Centre, 2004)The role of spatial information and related technologies in disaster management has been well-known worldwide. One of the challenges concerned with such a role is access to and usage of reliable, accurate and up-to-date spatial information for disaster management. This is a very important aspect to disaster response as timely, up-to-date and accurate spatial information describing the current situation is paramount to successfully responding to an emergency. This includes information about available resources, access to roads and damaged areas, required resources, required responding operations, etc., and should be available and accessible for use in a short period of time. Sharing information between involved parties in order to facilitate coordinated disaster response operations is another challenge in disaster management. This paper aims to address the role of Spatial Data Infrastructures (SDI) as a framework for facilitating disaster management. It is argued that the design and implementation of an SDI model as a framework and consideration of SDI development factors and issues can assist the disaster management agencies in such a way that they improve the quality of their decision-makings and increase their efficiencies and effectiveness in all level of disaster management activities. The paper is based on an ongoing research project in Iran regarding the development of an SDI Model for disaster management. This includes the development of a prototype web-based system which can facilitate sharing, access and use of data in disaster management and especially disaster response.