| EPSRC Reference: |
EP/L025744/1 |
| Title: |
Whittle Estimation for Lagrangian Trajectories - Regional Analysis and Environmental Consequences |
| Principal Investigator: |
Olhede, Professor SC |
| Other Investigators: |
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| Department: |
Statistical Science |
| Organisation: |
UCL |
| Scheme: |
Standard Research |
| Starts: |
28 June 2014 |
Ends: |
31 May 2015 |
Value (£): |
43,607
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| EPSRC Research Topic Classifications: |
| Statistics & Appl. Probability |
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Summary on Grant Application Form |
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This proposal will develop new methodology for summarising the spatial information obtained from analysing multiple time series of spatial trajectories. The project will involve adapting recent methodology by the applicants for the analysis of single time series trajectories, to develop the coherent analysis of multiple trajectories observed in a given spatial region. From these advances, summaries of regional spatial structure will be proposed, as well as methods for assessing the uncertainty inherent to such summaries. In particular, as a testbed, such will be implemented for regional sets of oceanographic observations from the Global Drifter Program, which contributes to providing deeper understanding of ocean circulation and its impact on climate change. The main scope of this proposal is therefore to test the feasibility of aggregate statistical analysis of the spatial information contained in multiple sets of trajectory observations. It is an ambitious research project which, if successful, would open the door to a wide set of applications such as ecology, oceanography and traffic management.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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