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Extracting events from spatial time series

: Andrienko, G.; Andrienko, N.; Mladenov, M.; Mock, M.; Pölitz, C.


Institute of Electrical and Electronics Engineers -IEEE-:
14th International Conference on Information Visualization, IV 2010 : London, 27-29 July 2010
New York, NY: IEEE, 2010
ISBN: 978-0-7695-4165-5
ISBN: 978-1-4244-7846-0
International Conference on Information Visualization (IV) <14, 2010, London>
Fraunhofer IAIS ()
visual analytic; event detection; time series

An important task in exploration of data about phenomena and processes that develop over time is detection of significant changes that happened to the studied phenomenon. Our research is focused on supporting detection of significant changes, called events, in multiple time series of numeric values. We developed a suite of visual analytics techniques that combines interactive visualizations on time-aware displays and maps with statistical event detection methods implemented in R. We demonstrate the utility of our approach using two large data sets.