Infrastructure Engineering - Research Publications
Permanent URI for this collection
Search Results
1 - 3 of 3
-
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.
-
ItemUnderstanding Land Administration Systems(Permanent Committee on GIS Infrastructure for Asia and the Pacific, 2008)
-
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.