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 The adage of a “picture tells a thousand words” is now out of date.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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ItemBridging SDI design gaps(Centre of Geo-Information Technologies (cGIT), 2006)The environment we inhabit is integrated and to properly manage the environment it is necessary to look at all environmental components and making multi-criteria decision about environment mostly needs an integrated view of built and natural environmental components to better interpret it.Despite the integrated nature of environment and requirements of users to integrate different components of environment, information about different elements of environment is being collected and managed by fragmented agencies under different and mostly inconsistent policies and standards to satisfy their own needs –for a single discipline- with little attention to the broad range of users – a multi-disciplinary approach. This fragmentation results in heterogeneity of technical and non-technical issues surrounding integration of datasets.An SDI is an initiative to facilitate the cooperation among all stakeholders and the interaction with standards and technological components and one of its objectives is to facilitate the integration of multi-source spatial data sets.This paper aims to address different issues connected to the integration of multi-source data sets in order to better serve different communities through their SDI initiatives and also a better management and sharing of their spatial data. The paper aims to discuss both technical and non-technical issues related to the integration of multi-source data sets in alignment with an ongoing research project devoted to developing models, guidelines and associated tools to facilitate the integration of multi-source datasets within an SDI.
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ItemA new vision on cadastral data model( 2006)Land administration systems are evolving towards an integrated land management paradigm designed to support sustainable development. In this paradigm, land administration delivers four functionalities: land mapping, land registration, land valuation and land development, each with specific data elements, with the cadastral data model at the core. Cadastral data modelling potentially plays a key role in both data and business management in modern land administration systems. However, some modifications to existing data models could potentially improve their capacity to deliver sustainability. Firstly, the existing role of land parcels and properties as core building blocks in land administration systems can be significantly extended to make the cadastral fabric available to assist management of a wider range of rights, restrictions and responsibilities by using the concept of legal property objects: an entity defined by a law or regulation which relates to a physical space on, below or above the earth. This can be interpreted as a new land related commodity, land parcel or a property. Secondly, although land parcel and property identifiers are key elements of interoperability within land administration subsystems, the paper argues that they have not yet given appropriate emphasis in cadastral data models. Among the identifiers, spatial identifiers can potentially simplify data exchange and work flows among land administration functionalities on a much wider basis. Finally, the paper discusses technical issues raised by changing the cadastral model: the advantages and disadvantages of spatial identifiers, possibilities for spatially presenting rights restrictions and responsibilities, and consistency between various legal property objects.
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ItemAwareness as a foundation for developing effective spatial data infrastructures( 2006)The development of an effective spatial data infrastructure (SDI) often occurs in a fragmented organizational environment requiring a high level of inter-organizational collaboration. Different organizations from various jurisdictions needs to work together closely when agreeing on how they will jointly register, store, use and share data and how they will make their data available to the wider society. This collaboration is generally regarded as very difficult. In particular, organizational issues are considered one of the key fundamental constraints to inter-organizational sharing of spatial data. But what makes collaboration effective and successful? For example people often resist sharing data across organizational boundaries due to loss of control, power and independency. In the spatial community, the term awareness is often used when discussing issues concerned with inter-organizational collaboration. However, a major problem by using the term awareness in discussions of inter-organizational collaboration is that awareness is undefined and often misused as a term in the spatial data handling community. The (over)-use of the term awareness, without having a rigorous definition to rely upon increases the difficulty of understanding and developing collaboration issues. The difficulty in quantifying and describing issues in collaboration make the development of effective spatial data infrastructures problematic since this development should be based on a conceptual framework that clearly addresses the problems spatial organizations currently encounter. As a result, the focus of this paper is on the nature and role of awareness. It explores why and how awareness plays a fundamental role in overcoming organizational constraints and in developing collaboration between organizations. The paper discusses the concept of awareness in the area of organizational collaboration in the spatial community, explains the important role awareness plays in the development of spatial data infrastructures, and introduces a methodology to promote awareness. Furthermore, the paper aims to make people in the community more aware of the use of the term "awareness" – when to use it, how to use it and especially important, how not to use it. The paper will use land administration systems as the discipline for investigating awareness.
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ItemIntegration of Built and Natural Environmental Datasets Within National SDI Initiatives(United Nations Regional Cartographic Conference for Asia and the Pacific, 2006)
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ItemSpatially Enabling Governments: A New Vision for Spatial Information(United Nations Regional Cartographic Conference for Asia and the Pacific, 2006)
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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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ItemThe role of sub-national government and the private sector in future Spatial Data Infrastructures( 2006-08)A Spatial Data Infrastructure (SDI) facilitates and coordinates the exchange and sharing of spatial data between stakeholders in the spatial data community. With this objective in mind, countries throughout the world are developing SDIs to manage and utilise their spatial data assets more effectively. These countries are developing SDIs to assist in various kinds of decision-making at different levels of government jurisdictions that have an important impact within their national boundaries. However, current research shows that SDI is understood and described differently by stakeholders from different disciplines and different jurisdictional levels. Therefore, in many cases SDI initiatives remain very much an innovation even among practitioners. There are still uncertainties regarding the benefits and identities of SDIs, particularly in connection with how they evolve over time to meet user needs.This paper reviews and assesses the development of SDIs throughout the world over the past fifteen years and the leadership role of national governments in SDI creation. This assessment is based on the SDI activities of various jurisdictions including Asia-Pacific, Australia, North America and Europe and research into the worldwide effects of spatial information clearinghouses. This assessment includes a discussion on emerging trends in SDI development, with particular reference to the increasingly important role played by sub-national governments and the private sector within the framework of SDI development. The paper concludes with a discussion of the implications for future SDI development, including the delivery of a virtual world that has a particular focus on facilitating decision making at a community level within a national context.