Infrastructure Engineering - Research Publications
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ItemSpatially Enabling Government – an International Challenge( 2007)The popular use of spatial technologies involves showing images and tracking assets and inventory in an increasing array of instruments, the most common being the ubiquitous mobile phone. These technologies penetrate into even low income poor countries, but their take-up and development concentrates in highly developed countries. This high-end use of these technologies will determine their future. Remarkable as these popular applications are, spatial technologies can also be used in even more dynamic, transformational ways. Transformational use of spatial technologies occurs when they are used to improve business processes of government, and assist delivery of policies for equitable taxation, conservation of natural resources and planning for rational growth. Use of this transformational capacity of spatial technologies in government creates a spatially enabled government (SEG). The major impediment to take-up of spatial information is counter-intuitive. We all use the new technology in our daily lives, but our capacity to understand the power of spatial information is remarkably small. In fact only about 1% of people in any society really understand spatial information with about 5% of people knowing something about the special technology. For 95% of people, spatial information and its supporting technologies is a mystery. Teaching people about spatial information and its technologies is therefore the first task in painting a vision of what is possible. The attractions of spatial technologies lie in how they present information, whether users rely on computers and the Internet, or on communications technologies. The adage of a “picture tells a thousand words” is now out of date. New digital pictures tell many stories, and, if the enabling platform is built, the pictures will become management tools of government. Spatial technologies are moving quickly. In Australia, since October 2006, Google Maps and Google Earth, combined with a geocoded national address
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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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ItemSpatially enabling governments through SDI implementation(TAYLOR & FRANCIS LTD, 2008)Spatially enabled government requires the development of effective SDIs that will support the vast majority of society, who are not spatially aware, in a transparent manner. This paper addresses three strategic challenges arising out of the need of creating this new environment. The first of these is the challenge for more inclusive models of governance given that SDI formulation and implementation involve a very large number of stakeholders from all levels of government as well as the private sector and academia. The second concerns the promotion of data sharing between different kinds of organisation. In some cases this may require new forms of organisation to carry out these tasks. The third challenge relates to the establishment of enabling platforms to facilitate access to spatial data and the delivery of data related services.
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ItemDevelopment of an interoperable tool to facilitate spatial data integration in the context of SDI(Taylor & Francis, 2010)The integration of multisource heterogeneous spatial data is one of the major challenges for many spatial data users. To facilitate multisource spatial data integration, many initiatives including federated databases, feature manipulation engines (FMEs), ontology-driven data integration and spatial mediators have been proposed. The major aim of these initiatives is to harmonize data sets and establish interoperability between different data sources. On the contrary, spatial data integration and interoperability is not a pure technical exercise, and there are other nontechnical issues including institutional, policy, legal and social issues involved. Spatial Data Infrastructure (SDI) framework aims to better address the technical and nontechnical issues and facilitate data integration. The SDIs aim to provide a holistic platform for users to interact with spatial data through technical and nontechnical tools. This article aims to discuss the complexity of the challenges associated with data integration and propose a tool that facilitates data harmonization through the assessment of multisource spatial data sets against many measures. The measures represent harmonization criteria and are defined based on the requirement of the respective jurisdiction. Information on technical and nontechnical characteristics of spatial data sets is extracted to form metadata and actual data. Then the tool evaluates the characteristics against measures and identifies the items of inconsistency. The tool also proposes available manipulation tools or guidelines to overcome inconsistencies among data sets. The tool can assist practitioners and organizations to avoid the time-consuming and costly process of validating data sets for effective data integration.
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ItemA better way to manage land information(The Intermedia Group, 2010)Australia’s Federal Government has no constitutional authority over land administration. Each state and territory has its own system and, to date, this system has served the nation well. Each system is reflected in the historic, independent pattern where each jurisdiction computerises its own processes and operates according to its own timetable, needs, reporting functions, customer service design and other imperatives. However, the country’s capacity to meet increasingly national issues – such as management of the macro economy, a national property market, climate change response, disaster management, national business coordination and national security– is problematic. Seamless information about landownership, and its use, value and development is essential to the strategic planning of capital cities. Processes such as levying capital gains tax, allocating drought relief, and managing crime and terrorism all require broad strategic planning, as do the development of early warning systems for emergencies and climate change initiatives. As a consequence, national priorities that rely on information about land are faced with the technical, policy and institutional barriers that come with integrating data from multiple state-based sources. The solution is a national land information infrastructure.
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ItemCritical issues in global geographic information management - with a detailed focused on data integration and interoperability of systems and data( 2010)The GSDI Association continues its support for the United Nations for taking the initiative on this critical global geographic information issue; and is willing to contribute to new arrangements to improve global geographic information management. The role of the GSDI Association, in essence, is to facilitate better global outcomes through utilisation of geographic information and spatial data infrastructures (SDIs). This role directly complements the proposal to establish a United Nations Committee on Global Geographic Information Management (UNCGGIM). The GSDI Association's view of the changes now taking place in the geographic information world and these changes exemplify convergence of technologies and disciplines. These changes need to be influenced where appropriate, and leveraged, by the global geographic information community, particularly by the United Nations. This paper presents some views related to the “critical issues in global geographic information management” and in particular a response to the following issues: - Governance: is global governance relevant and necessary? - Interoperability of systems and data - Data integration and layering, and - Capacity building and technology transfer In responding to these issues, the paper however provides a more detailed discussions on “interoperability of systems and data” and “data integration” in particular the technical and non-technical issues and heterogeneity associated with multi-sourced spatial data integration in the context of SDI.