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Methods for the visualization of clustered climate data

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Summary

Increasing amounts of large climate data require new analysis techniques. The area of data mining investigates new paradigms and methods including factors like scalability, flexibility and problem abstraction for large data sets. The field of visual data mining in particular offers valuable methods for analyzing large amounts of data intuitively. In this paper we describe our approach of integrating cluster analysis and visualization methods for the exploration of climate data. We integrated cluster algorithms, appropriate visualization techniques and sophisticated interaction paradigms into a general framework.

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Notes

  1. 1In some cases it can be useful not to start with the lower left corner, but some steps before, to improve overall orientation.

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Authors and Affiliations

  1. Institute of Computer Graphics, University of Rostock, Albert-Einstein-Str. 21, D-18059, Rostock, Germany

    Thomas Nocke & Heidrun Schumann

  2. Institute for Physics, University Potsdam, Am Neuen Palais 10, 14469, Potsdam, Germany

    Uwe Böhm

Authors
  1. Thomas Nocke
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  2. Heidrun Schumann
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  3. Uwe Böhm
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Correspondence to Thomas Nocke.

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Nocke, T., Schumann, H. & Böhm, U. Methods for the visualization of clustered climate data. Computational Statistics 19, 75–94 (2004). https://doi.org/10.1007/BF02915277

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