Article | Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden | Multi-Scale Trend Visualization of Long-Term Temperature Data Sets

Title:
Multi-Scale Trend Visualization of Long-Term Temperature Data Sets
Author:
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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Full text (pdf)
Year:
2014
Conference:
Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden
Issue:
106
Article no.:
013
Pages:
91-94
No. of pages:
4
Publication type:
Abstract and Fulltext
Published:
2014-10-30
ISBN:
978-91-7519-212-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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.

Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden

Author:
Andreas Kerren, Ilir Jusufi, Jiayi Liu
Title:
Multi-Scale Trend Visualization of Long-Term Temperature Data Sets
References:

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Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden

Author:
Andreas Kerren, Ilir Jusufi, Jiayi Liu
Title:
Multi-Scale Trend Visualization of Long-Term Temperature Data Sets
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