Andreas Kerren
Linnaeus University, Department of Computer Science, ISOVIS Group, Växjö, Sweden
Ilir Jusufi
University of California, Department of Computer Science, Davis, CA, USA
Jiayi Liu
Linnaeus University, Department of Computer Science, ISOVIS Group, Växjö, Sweden
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Published in: Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden
Linköping Electronic Conference Proceedings 106:13, p. 91-94
Published: 2014-10-30
ISBN: 978-91-7519-212-3
ISSN: 1650-3686 (print), 1650-3740 (online)
The analysis and presentation of climate observations is a traditional application of various visualization approaches.The available data sets are usually huge and were typically collected over a long period of time. In this paper, we focus on the visualization of a specific aspect of climate data: our visualization tool was primarily developed for providing an overview of temperature measurements for one location over decades or even centuries. In order to support an efficient overview and visual representation of the data, it is based on a region-oriented metaphor that includes various granularity levels and aggregation features.
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