Infrastructure Engineering - Theses
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ItemA local-state government spatial data sharing partnership model to facilitate SDI development( 2006-12)In the past decade efforts to develop spatial data infrastructures (SDIs) have migrated from the initial “top-down” national approaches to “bottom-up” and cross jurisdictional efforts at the sub-national level. Although national SDI developments are fundamental to building the SDI culture and policy, it is sub-national and local SDI development that will deliver the immediate benefits to citizens and the community. In countries which have highly decentralised federations of states such as Australia, United States and Canada, the challenge is how to co-ordinate the literally thousands of often small local government jurisdictions which are important contributors to state and local SDIs. In recent years, a number of co-operative spatial data sharing partnerships between local and state government have emerged in various countries around the world. These partnerships are relatively new initiatives that have been established to facilitate more effective sharing of spatial data between organisations, but also as a mechanism to contribute to SDI development. To maximise the benefits from these partnerships it is essential to understand the factors that contribute to their successful operation and sustainability. Therefore, the focus of this research is to understand these collaborative arrangements so that future data sharing initiatives can be improved and sustained.
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ItemGIS applied to administrative boundary design( 2003)The fragmentation of administrative boundaries is a serious problem in the analysis of social, environmental and economic data. This research focuses on the development of a coordinated approach to the design of administrative boundaries that endeavours to support accurate decision making. Around the world, administrative boundaries have been structured in an uncoordinated manner, limiting data exchange and integration between organisations. The solution proposed in this research adopts the hierarchical reorganisation of administrative boundaries to enhance data integration and data exchange within the spatial data infrastructure (SDI) framework.The SDI is an initiative intended to facilitate access to complete and consistent data sets. One of the most fundamental problems restricting the objectives of the SDI is the fragmentation of data between non-coterminous boundary systems. The majority of administrative boundaries have been constructed by individual agencies to meet individual needs. Examples of the proliferation of different boundary systems include postcodes, census-collector districts, health districts and police districts. Due to the lack of coordination between boundary systems, current technologies for analysing spatial data, such as geographic information systems (GIS), are not reaching their full potential. A review of the current literature reveals that, until now, little has been done to solve this problem.The prototype developed within this research provides a new mechanism for the design of administrative boundaries. The prototype incorporates two algorithms. These are based on HSR theory and administrative-agency constraints and are implemented within the GIS environment. Such an approach is an example of the potential that is available when we link spatial information theory with the SDI framework and disciplinary knowledge.
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ItemDiffusion of regional spatial data infrastructures: with particular reference to Asia and the Pacific( 2002)The development of a Regional Spatial Data Infrastructure (Regional SDI) is much more challenging than the development of a National SDI initiative within a nation. This is mainly because of the voluntary nature of cooperation at a multi-national level and participation in a Regional SDI initiative. As a result, despite considerable interest and activities, the development of an effective and comprehensive Asia-Pacific Regional Spatial Data Infrastructure (APSDI) is hampered by a lack of support from member nations which results in this initiative remaining only an innovative concept. Based on this situation, the aim of this research is to design an improved conceptual model for Regional SDI and an implementation strategy. It is proposed that this problem can be partly addressed by increasing the level of awareness about the nature and value of SDIs; improving the SDI conceptual model to better meet the needs of nations; and by identifying key factors that facilitate development by better understanding the complexity of the interaction between social, economic and political issues.
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ItemAutomatic spatial metadata updating and enrichment( 2013)Spatial information is necessary to make sound decisions at the local, regional and global levels. As a result, the amount of spatial datasets being created and exchanged between organisations or people over the networked environment is dramatically increasing. As more data and information is produced, it becomes more vital to manage and locate such resources. The role in which spatial metadata, as a summary document providing content, quality, type, creation, distribution and spatial information about a dataset, plays in the management and location of these resources has been widely acknowledged. However, the current approaches cannot effectively manage metadata creation, updating, and improvement for an ever-growing amount of data created and shared in the Spatial Data Infrastructures (SDIs) and data sharing platforms. Among the available approaches, the manual approach has been considered monotonous, time-consuming, and a labour-intensive task by organisations. Also, the existing semi-automatic metadata approaches mainly focus on specific dataset formats to extract a limited number of metadata values (e.g. bounding box). Moreover, metadata is commonly collected and created in a separate process from the spatial data lifecycle, which requires the metadata author or responsible party to put extra effort into gathering necessary data for metadata creation and updating. In addition, dataset creation and editing are detached from metadata creation and editing procedures, necessitating diligent updating practices involving at a minimum, two separate applications. Metadata and related spatial data are often stored and maintained separately using a detached data model that results in avoiding automatic and simultaneous metadata updating when a dataset is modified. The spatial data end users are also disconnected from the metadata creation and improvement process. Accordingly, this research investigated a framework and associated approaches and tools to facilitate and automate the spatial metadata creation, updating and enrichment processes. This framework consists of three complementary approaches namely ‘lifecycle-centric spatial metadata creation’, ‘automatic spatial metadata updating (synchronisation)’, and ‘automatic spatial metadata enrichment’ and a newly integrated data model for storing and exchanging spatial dataset and metadata jointly. The lifecycle-centric spatial metadata creation approach aimed to create metadata in conjunction with the spatial data lifecycle steps. The automatic spatial metadata updating (synchronisation) approach was founded on a GML-based integrated data model to update metadata affected by the dataset modification concurrent with any change to the dataset, regardless of dataset format. The automatic spatial metadata enrichment approach was also design-rooted in Web 2.0 features (tagging and folksonomy) to improve the content of spatial metadata keyword element through monitoring the end users’ interaction with the data discovery and retrieval process. The proposed integrated data model and automatic spatial metadata updating and enrichment approaches were successfully implemented and tested via prototype systems. The prototype systems then were assessed against a number of requirements identified for the spatial metadata management and automation and effectively responded to those requirements.
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ItemBuilding a seamless SDI model for land and marine environments( 2010)With climate change, rising sea levels pressing harder year on year and the need to manage our resources more carefully in this dynamic environment, the inability to integrate marine and land based spatial information is an increasing problem in many countries. Without spatial data, sustainable development of the coastal zone is difficult, if not impossible. The absence of a seamless spatial information framework prevents the execution of standard practice of locating and referencing spatial information across the land – marine interface where so much pressure and development is taking place. This also inhibits the access and sharing of spatial information leading to data duplication often resulting in a proliferation of discrete data collection projects with the consequences of substantial investments.