Spatial information is increasingly acknowledged as a national resource essential for sustainable development. Spatial Data Infrastructure (SDI) is part of the basic infrastructure that needs to be efficiently coordinated and managed in the interests of the nation. However, there is no framework or adequate knowledge available for users, providers and administrators of SDI to collaborate effectively to build National SDI. In countries that are a federation of states, administration is dispersed across multiple tiers of government. The system of governance and constitution in a federated country makes the coordination of spatial activities in the national interest complex. (For complete abstract open document)

Zugl.: Karlsruhe, Univ., Diss., 2008

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Metadata is an important part of any Spatial Data Infrastructure (SDI). Without proper and sufficient documentation of spatial data, resources are lost when pre-existing data has to be recreated or if data sets overlap. At the same time, creating and updating metadata can be a resource intensive task. Lantmäteriet seeks to optimize the creation and updating of metadata according to the new INSPIRE directive, as well as the Swedish National Geodata Strategy. INSPIRE (Infrastructure for Spatial Information in Europe) seeks to increase cooperation between nations in Europe through harmonization of certain spatial data themes, increased data and software interoperability, as well as the creation of a European spatial data infrastructure.  INSPIRE lays the judicial foundation for this European cooperation. Sweden has been involved with INSPIRE since May 15th 2009. This thesis is aimed at developing the most optimal business process model for how the Swedish Mapping, Cadastral, and Land Registration Authority (Lantmäteriet) can create and update metadata according to the new INSPIRE directive based on best practice case studies and extensive literature review. The European Commission (EC) INSPIRE directive will be fully implemented in 2010. Furthermore, a survey of current metadata practices has been carried out to establish a starting off point for metadata creation at Lantmäteriet as well as a best practice business process model using ArcGIS Desktop.

ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV / In our first installment, analog and HD video terms were compared. It was shown that resolution is three-dimensional in HD. High HD data rates force the use of video compression in order to transport video. Compression compromises video detail and introduces latency. Latency affects the overlay of time critical measurements. It is therefore important to time stamp at the source. In this volume, the focus is on the key regions of the HD video frame and metadata. SMPTE specifications are the foundation on which MISB builds its use of metadata. It will be shown that only two KLV packets can hold all TSPI and calibration data with frame-by-frame updates. This capacity is new in HD. Metadata is permanently merged with images and the time that both were collected. We show how employing the KLV metadata packet can result in a single video record where picture taking are all in lockstep. Using KLV metadata enables one to record clean video while retaining the ability to place crosshairs and data during playback.

This thesis aims to define the concept of a marine cadastre through an analysis of institutional and legal aspects of Australia’s current marine based management system. It also aims to investigate the applicability of current legal, institutional and administrative land based spatial management arrangements, including the Australian Spatial Data Infrastructure (ASDI) and cadastre, to the administration of current spatial rights, restrictions and responsibilities in the marine environment. (For complete abstract open document)

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.

The process of decision making is best undertaken with the consideration of as much information as possible. One way to maximise the amount of information that is being used in the process is to use metadata engines. Metadata engines can be used to create virtual databases which are a collection of individual datasets located over a network. Virtual databases allow decisions to be made using data from many different data bases at many different locations on a network. They shield the user from this fact. From the users point of view they are only using data from the one location. This thesis investigates some of the concepts behind metadata engines for Internet based Spatial Data Infrastructures. The thesis has a particular emphasis on how metadata engines can be used to create virtual databases that could be of use in the planning and decision making processes. The thesis also investigates some current spatial data technologies such as SDIs, data warehouses, data marts and clearing houses, their interoperability and their relationship to metadata engines. It also explores some of the more recent spatial data applications that have been developed in the context of metadata engines and Spatial Data Infrastructures.

Reverse osmosis operations are facing persistent fouling phenomenon that has challenged the integrity of these processes. Prediction of fouling potential by measuring a fouling index toward feed water is essential to ensure robust operation. Moreover, employing a reliable fouling index with good reproducibility and precision is necessary. Silt density index (SDI) is considered insufficient in terms of reliability and empirical theory, among other limitations. Nevertheless due its simplicity, SDI measurement is utilized extensively in RO desalination systems. The aim of this research is to assess the reliability of SDI. Methods include the investigation of different SDI membranes and study of the nature of the SDI filtration. Results demonstrate the existence of the membrane properties' variation within manufacturers, which then causes a lack of accuracy in fouling risk estimation. The nature of particles during SDI filtration provides information that particle concentration and size play a significant role on SDI quantification with substantial representation given by particles with size close to membrane nominal pore size. Moreover, turbidity assisted SDI measurements along with determination of UF pretreated and clean water fouling potential, establishes the indication of non-fouling related phenomena involved on SDI measurement such as a natural organic matter adsorption and hydrodynamic condition that alters during filtration. Additionally, it was found that the latter affects the sensitivity of SDI by being represented by some portions of SDI value. Keywords: Reverse Osmosis, Fouling index, Particulate Fouling, Silt Density Index (SDI), and Assessment of SDI.

This thesis investigates the problems associated with the development of Spatial Data Infrastructures (SDIs). The results of this investigation are used as input for the development of new spatial data policy strategies for individual organisations to enable an improved better facilitation of SDIs. Policy issues that need to be considered by an organisation when developing spatial data policies, were identified as being: SDI requirements; organisational issues; technical issues; Governmental/organisational duties; ownership/custodianship; privacy and confidentiality; legal liability, contracts and licences; Intellectual Property Law; economic analysis; data management; outreach, cooperation and political mandate; and users' choices, rights and obligations. In order to gain an understanding of current spatial data policy practices and to device new policy strategies a spatial data survey was conducted. This survey addressed the identified SDI problem areas. Some 6630 questionnaires were mailed out with more than 400 responses returned. These were reduced to 379 useful responses. Once analysed, the results were compared with the findings of the SDI investigation and used throughout the thesis. The results of the analysis to the spatial data survey are displayed in tables and graphs throughout Chapters 3, 4, 5 and 6 and in Appendix 2. The tables and graphs show the answers to the questions asked in the questionnaire as a percentage of the total number of respondents. The survey discovered that many organisations had no spatial data policies, nor individual policies on spatial data pricing and/or intellectual property protection. This thesis established that SDI requirements are not being met by many spatial data policies used by individual organisations. Hence, the thesis studied the spatial data policy issues that are involved when an organisation develops new policies with the aim to aid the development of SDIs. It uniquely established current Australian spatial data policy practices in the areas of spatial data quality, access, pricing, and legal issues to form the basis for future strategies. It reviewed the current knowledge of intellectual property law applied to spatial data and devised new approaches to deal with all the identified policy issues. Finally, the thesis defines spatial data policies that facilitate SDI development.