Infrastructure Engineering - Research Publications
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ItemSpatial Data Integration Challenges: Australian Case Studies(Spatial Sciences Institute, 2007)
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ItemSeamless SDI Model to Facilitate Spatially Enabled Land-Sea Interface(Spatial Sciences Institute, 2007)
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ItemThe development of a frameworkand associated tools for the integration ofmulti-sourced spatial datasets( 2006)The world of today heavily relies on spatial data to manage the natural and built environments.Monitoring and controlling the impact of human activities on environment and the impact of naturalenvironment changes (including natural hazards) on built environment is a major policy driver formany jurisdictions. The mitigation of natural hazards including tsunami, earthquake and landslide andsecuring citizens against them has become another priority of nations , especially after Indonesia’stsunami. September 11 was also a remarkable point in history which attracts attentions towardsproviding more efficient counter-terrorism initiatives to secure citizens.In many countries meeting sustainable development objectives including social cohesion andenvironment protection together with economical growth is the most overwhelming policy driver. Inthese countries most of legislations and decisions are made, if they meet sustainable developmentobjectives.All above mentioned activities try to control the natural and built environments and monitor theimpacts of one environment on the other one. To control and monitor built and natural environments,the components of these environments need to be integrated to provide the factual model of realworld. Effective access and use of spatial data has been addressed by developing SDIs (Spatial DataInfrastructures) which one of its objectives is to address and provide requirements for effective dataintegration.The effective integration of built and natural environmental datasets is an ultimate goal of manyspatial decision making systems which has not been fully achieved, however technical integration andinteroperability of multi-sourced spatial data have received much attention. The integration of multisourcedspatial data due to the diversity of data providers needs more than technical tools andconsiderations. Institutional, social, legal and policy requirements must also be taken intoconsideration in order to achieve effective integratio
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ItemInternational case study development and data integration activities in Australia(United Nations Regional Cartographic Conference for Asia and the Pacific, 2006)
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ItemA template for assessing worldwide cadastral systems as part of national SDI initiatives( 2006)Many countries over the past few years have spent considerable time and energy in attempting to compile descriptions and reports in the area of land administration, without giving much attention to the role of cadastral systems and national spatial data infrastructures within a land administration system. The Permanent Committee on GIS Infrastructure for Asia and the Pacific (PCGIAP) and the International Federation of Surveyors (FIG), together with the Centre for SDIs and Land Administration have attempted to address this through the creation of a joint cadastral template that has so far been filled out by 39 countries. The template collects descriptions of national cadastral systems as part of National Spatial Data Infrastructure (SDI) initiatives on a broad basis and the information is made publicly accessible on the web. The information can be used for comparing and assessing land administration and cadastral systems worldwide, in order to help countries re-engineer and implement their systems to address future needs. This paper aims to outline the concept and theory behind the development of the cadastral template and its relationship with National SDI initiatives and how it can help spatial information practitioners in improving and re-engineering their infrastructure and systems. Analysis of the data gathered from the completed templates is currently being undertaken with some overall results presented and future areas of work identified.
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ItemSpatial Data Integration( 2006)Todays world relies heavily on spatial data to manage the natural and built environments. Monitoring and controlling the impact of human activities on the environment and the impact of natural environmental changes (including natural hazards) on the built environment is a major policy driver for many jurisdictions. The mitigation of natural hazards including tsunamis, earthquakes and landslides and securing citizens against them has become another priority of nations, especially after the tsunami within the Asia/Pacific region. September 11 was also a major point in history which attracts attentions towards providing more efficient counter-terrorism initiatives.
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ItemDeveloping a seamless SDI model across the land-sea interface( 2007)A more integrated and holistic approach to management of spatial information relating to coastal and marine environments is needed and this can be facilitated by the creation of a Spatial Data Infrastructure (SDI) on a seamless platform. There is a growing and urgent need to create a seamless SDI model that bridges the gap between the terrestrial and marine environments, creating a spatially enabled land-sea interface to more effectively meet sustainable development objectives. This paper discusses the principles and concepts followed by introduction to issues and challenges that must be overcome in developing an overarching architecture for a seamless SDI that allows access to and interoperability of data from marine, coastal and terrestrial environments.
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ItemSDI to Facilitate a Spatially Enabled Society(Spatial Sciences Institute, 2007)
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ItemGeo-web service tool for spatial data integrability( 2008)The integration of multi-source heterogeneous spatial data is one of the major challenges for many spatial data users. Users put much effort to identify and overcome inconsistency among data sets through a time-consuming and costly process. Spatial applications that rely on multi-source heterogeneous data also suffer from the lack of automatic mechanism to identify the inconsistency items and assign an appropriate solution for any particular item. An effective integration necessitates the identification of the inconsistency among data sets and the provision of necessary standards and guidelines in order to overcome the inconsistency, and then data sets can be manipulated based on the guidelines and proposed solutions.The paper follows two main streams. Firstly, the results of a number of case studies which have been conducted in order to identify the issues and challenges of spatial data integration are discussed. Then based on identified issues the design and development of a validation tool is discussed. The tool has been designed based on an approach which is presented in the paper. The tool aims to investigate multi-sourced spatial data and identify the items of inconsistency. The tool also proposes available guidelines to overcome the inconsistency. This tool can help practitioners and organizations to avoid the time-consuming and costly process of validating data sets for effective data integration.
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ItemSDI and Metadata Entry and Updating Tools(GSDI Association, 2009)