Infrastructure Engineering - Research Publications
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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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ItemEvaluation and performance indicators to assess Spatial Data Infrastructure initiatives(Published jointly by Space for Geo-Information (RGI), Wageningen University and Centre for SDIs and Land Administration, Department of Geomatics, The University of Melbourne, 2008)Many countries are developing Spatial Data Infrastructures (SDIs) to improve access, sharing and the integration of spatial data and services. However the challenge of designing, building and managing an SDI draws on many different disciplines and requires the examination of a large number of factors and issues. In this regard, the comparison and evaluation of SDIs can help to better understand the issues, to find best practice for certain tasks and to improve the system as a whole. Evaluating and comparing public and private administration systems can be significant in terms of improving processes and institutional structures. The application of these principles to the development of SDIs will therefore come to play a crucial role in the management of our spatial data and that pertaining to the administration of our societies. This chapter therefore aims to introduce the role and value of evaluation and performance indicators for assessing and comparing SDIs by using experiences in the field of land administration systems. Evaluation involves assessing the strengths and weaknesses of programs, policies, personnel, products and organisations to improve their effectiveness. The evaluation is about finding answers to questions such as 'are we doing the right thing' and 'are we doing things right'. These are prominent questions for SDIs, the development of which has been very dynamic over the last decade and has involved significant learning from other national or local initiatives. The commonalities between SDIs and the objectives of efficient and effective land administration systems provide strong grounds for deriving evaluation and performance indicators for SDIs from land administration principles. Key issues include sustaining a culture of sharing, establishing a common language and maintaining reliable financial support. To achieve this, the chapter first presents and discusses major classes of factors which influence, or contribute to, the development of an SDI initiative followed by a reviewing key components of land administration systems and SDIs. It is then proposed that a general evaluation framework which can be applied to SDI and its different components be developed before drawing some conclusions.
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ItemSpatial Data Integrability and Interoperability in the Context of SDI(SPRINGER-VERLAG BERLIN, 2009)
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ItemSpatially referenced legal property objects(ELSEVIER SCI LTD, 2008-04)
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ItemUnderstanding land administration systems [1](Centre of Geo-Information Technologies, 2008)This paper introduces basic land administration theory and highlights four key concepts that are fundamental to understanding modern land administration systems - firstly the land management paradigm and its influence on the land administration framework, secondly the role that the cadastre plays in contributing to sustainable development, thirdly the changing nature of ownership and the role of land markets, and lastly a land management vision that promotes land administration in support of sustainable development and spatial enablement of society. We present here the first part of the paper. The second part that focuses on the changing role of ownership and the role of land markets, and a land management vision will be published in November issue of Coordinates.
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ItemUnderstanding land administration systems [2](Centre of Geo-Information Technologies, 2008)This paper introduces basic land administration theory and highlights four key concepts that are fundamental to understanding modern land administration systems. Readers may recall the first part of the paper in October Issue of Coordinates. Here is the concluding part that focuses on the changing role of ownership and the role of land markets.
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ItemSeamless platform to facilitate administration across land-sea interface( 2008)As the interface between marine and land environments, coasts have diverse and ever increasing conflicting pressures and demands requiring effective administration and management which is underpinned by the need for access to spatial information. Spatial data is recognised as a critical resource to underpin effective and sustainable management and administration. Spatial Data Infrastructures (SDIs) are developing in many countries to improve coordination and management of spatial data. Until recently SDI concept has largely overlooked the marine and coastal environments, focussing mainly on connecting people with land-related data and information. Some countries have started to develop a Marine SDI but often as a separate initiative from their existing terrestrial SDI. To effectively manage the coastal zone there is a need for access and interoperability with spatial information from both the marine and coastal environments. The extension of a National SDI covering the land and marine environments on a seamless platform would facilitate greater access to more interoperable spatial data and information across the land-sea interface enabling a more integrated and holistic approach to management of the coastal zone. This paper aims to identify and discuss the main characteristics and components for the design of a seamless SDI model. Further it proposes a seamless SDI model using current SDI theory and model that incorporate identified characteristics and components. The ultimate aim will be a refined SDI model that seamlessly covers both land and sea that can be used by jurisdictions to create an enabling platform for the use and delivery of spatial information and services.
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ItemBuilding seamless SDI to facilitate land and marine environments( 2008)Due to the high economic value of coastal and marine activities, and to the social value of coastal zones for quality of life, managing the coastal zone is a key component of the socio-economic framework in most nations with coastlines. In recent times several natural disasters hit some part of the coastal areas around the world in particular small islands and archipelagic countries causing hundreds thousands of peoples lost their lives, while those who survived had lost their properties. Learning from such kind of devastating disasters, it is important to have a functioning spatial data infrastructure (SDI) which facilitates discovery, access and sharing accurate, complete and up-to-dated spatial data for better planning and timely disaster management. Sustainable development requires the availability of integrated and comprehensive spatial information throughout the country both land and marine area, that can easily be found and accessed for public. Having said that, however current SDI design is focused mainly on access to and use of land related datasets or marine related datasets, with most SDI initiatives stopping at the land-ward or marine-ward boundary of the coastline, institutionally and/or spatially. Consequently, there is a lack of harmonised and universal access to seamless datasets from marine, coastal and land-based spatial data providers. This leads to the creation of inconsistencies in spatial information policies, data creation, data access, and data integration across the coastal zone. The extension of an SDI covering the land and marine environments on a seamless platform would facilitate greater access to more interoperable spatial data and information across the land-marine interface enabling amore integrated and holistic approach to management of the coastal zone. This paper aims to identify and discuss the main characteristics and criteria for utilisation of a Seamless SDI model and to examine the current barriers against implementation of this model. This would help to develop an extended framework to support a spatially enabled jurisdiction covering the land-sea interface. A Seamless SDI leads to the promotion of data sharing and communication between organisations thus facilitating better decision-making involving marine and coastal spatial information.
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ItemUnderstanding Land Administration Systems(Permanent Committee on GIS Infrastructure for Asia and the Pacific, 2008)
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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.