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A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series
Dec. 2012 (vol. 18 no. 12)
pp. 2899-2907
Mike Sips, German Research Center for GeoSciences GFZ
Patrick Kothur, German Research Center for GeoSciences GFZ
Andrea Unger, German Research Center for GeoSciences GFZ
Hans-Christian Hege, Zuse Institute Berlin
Doris Dransch, German Research Center for GeoSciences GFZ
We present a Visual Analytics approach that addresses the detection of interesting patterns in numerical time series, specifically from environmental sciences. Crucial for the detection of interesting temporal patterns are the time scale and the starting points one is looking at. Our approach makes no assumption about time scale and starting position of temporal patterns and consists of three main steps: an algorithm to compute statistical values for all possible time scales and starting positions of intervals, visual identification of potentially interesting patterns in a matrix visualization, and interactive exploration of detected patterns. We demonstrate the utility of this approach in two scientific scenarios and explain how it allowed scientists to gain new insight into the dynamics of environmental systems.
Index Terms:
Time series analysis,Visual analytics,Data visualization,Meteorology,Entropy,Earth,visual analytics,Time series analysis,multiscale visualization
Citation:
Mike Sips, Patrick Kothur, Andrea Unger, Hans-Christian Hege, Doris Dransch, "A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2899-2907, Dec. 2012, doi:10.1109/TVCG.2012.191
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