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Extracting Events from Spatial Time Series

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5 Author(s)
Andrienko, G. ; Fraunhofer IAIS, Univ. of Bonn, Bonn, Germany ; Andrienko, N. ; Mladenov, M. ; Mock, M.
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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.

Published in:

Information Visualisation (IV), 2010 14th International Conference

Date of Conference:

26-29 July 2010