Streaming Data Modelling Projects
Examples of our work on data streaming.
Streaming data modelling projects
This Alan Turing Institute-funded project is concerned with the development of online algorithms for streaming sensor data. There is a methodological focus on Bayesian state space and Gaussian process models for proper uncertainty quantification. Applications include spatio-temporal mapping and nowcasting of air pollutants in Newcastle, using live data feeds from the Urban Observatory
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Flood-PREPARED
This streaming data modelling project is developing new physical analytical methods that integrate advanced urban flood hazard models with statistical analytics of big data. The data comes from multiple real-time data-feeds describing the current state and condition of the city in terms of surface water flood risk and impacts.
We're coupling physically-based modelling and statistical analytics. This means decision makers can be provided with improved real-time predictions of surface water flooding to assist in flood mitigation at a range of governance scales.
This project is funded by the Natural and Environmental Research Council.
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