Predicting Roll Angular Motion. The roll angular motion, or RAM, of a ship denotes its oscillation about its longitudinal axis, primarily caused by wave motion. The ability to predict RAM is of significant practical utility. For example, in defence-related work it plays a role in determining accuracy of weapons systems. We suggest a technique for predicting RAM. Our method borrows from both parametric and nonparametric statistics, in that a sinusoidal model is fitted to data but only over a ....Predicting Roll Angular Motion. The roll angular motion, or RAM, of a ship denotes its oscillation about its longitudinal axis, primarily caused by wave motion. The ability to predict RAM is of significant practical utility. For example, in defence-related work it plays a role in determining accuracy of weapons systems. We suggest a technique for predicting RAM. Our method borrows from both parametric and nonparametric statistics, in that a sinusoidal model is fitted to data but only over a short time interval. We show how to both assess and correct error. In particular, we propose methods for attaching probabilities to the accuracy of predictions.Read moreRead less
A toolkit of statistical methodology for a state-of-the-art software and decision support system for forest assessment using new airborne data. The aim is to develop statistical methods for efficient collection and interpretation of airborne laser data and videography, used to describe characteristics of the forest such as tree species, stand history and vertical distribution of foliage, and hence biodiversity and biomass. This is significant for meeting Australia's international and national en ....A toolkit of statistical methodology for a state-of-the-art software and decision support system for forest assessment using new airborne data. The aim is to develop statistical methods for efficient collection and interpretation of airborne laser data and videography, used to describe characteristics of the forest such as tree species, stand history and vertical distribution of foliage, and hence biodiversity and biomass. This is significant for meeting Australia's international and national environmental obligations, providing quality information to farmers and industry, and hence developing potential jobs in regional areas. Outcomes include a toolkit of statistical methods applicable to spatial modelling and analysis of very large datasets, a statistically valid software product, marketable estimation methods in carbon accounting, technology transfer, training, publications.Read moreRead less
Elicitation and Integration of Expert Information for Natural Resource Management with a Focus on Water. Australia's natural resource management requires integrating information from many sources, including survey data and community and expert opinion. We aim to develop statistical methods to formally combine this information and apply them to better management of our crucial resource, water. The project contributes significantly to Australia's international obligations, and government agency an ....Elicitation and Integration of Expert Information for Natural Resource Management with a Focus on Water. Australia's natural resource management requires integrating information from many sources, including survey data and community and expert opinion. We aim to develop statistical methods to formally combine this information and apply them to better management of our crucial resource, water. The project contributes significantly to Australia's international obligations, and government agency and regional group science-based decision-making.
Outcomes include increased fundamental knowledge in statistics, technology transfer and improved decision-making capacity for natural resource management.
The project builds on strong existing collaborations between academic and industry partners and provides foundation for future funded projects.
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Measuring and presenting uncertainty in complex natural resource monitoring programs. This project addresses Australia's key research goal of An Environmentally Sustainable Australia, priority goals of Water, Soil and Climate, and the theme of Complex Systems.Through improved capability in making data-based decisions and true sharing of university and government agency expertise, the project will enhance Australia's ability to better manage its natural resources, meet national and international ....Measuring and presenting uncertainty in complex natural resource monitoring programs. This project addresses Australia's key research goal of An Environmentally Sustainable Australia, priority goals of Water, Soil and Climate, and the theme of Complex Systems.Through improved capability in making data-based decisions and true sharing of university and government agency expertise, the project will enhance Australia's ability to better manage its natural resources, meet national and international environmental commitments, and address national demands for quality science underpinning decisions about natural resource managementRead moreRead less
Optimisation of Signal-to-Noise Ratio in Electrical and Electromagnetic Investigations. Electrical and electromagnetic geophysical methods have been used extensively for mineral exploration, and are developing a role in salinity mapping and contaminant identification. To enhance the utility of such methods for very shallow targets (in the case of salinity) and deep targets (minerals beneath regolith)improved signal processing methods are required. The project involves the development of time-ser ....Optimisation of Signal-to-Noise Ratio in Electrical and Electromagnetic Investigations. Electrical and electromagnetic geophysical methods have been used extensively for mineral exploration, and are developing a role in salinity mapping and contaminant identification. To enhance the utility of such methods for very shallow targets (in the case of salinity) and deep targets (minerals beneath regolith)improved signal processing methods are required. The project involves the development of time-series processing techniques using robust-statistical methods and remote-referencing to improve signal-to-noise data quality. Instrumentation hardware and software developments are required for in-field data acquisition and interpretation, applied to direct current (DC) resistivity, induced polarisation (IP) and time-domain EM (TEM).Read moreRead less