Articles | Volume 22, issue 5
Nonlin. Processes Geophys., 22, 545–570, 2015
https://doi.org/10.5194/npg-22-545-2015

Special issue: Complex network approaches to analyzing and modeling nonlinear...

Nonlin. Processes Geophys., 22, 545–570, 2015
https://doi.org/10.5194/npg-22-545-2015

Review article 23 Sep 2015

Review article | 23 Sep 2015

Review: visual analytics of climate networks

T. Nocke et al.

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Cited articles

Abello, J. and Pogel, A.: Graph Partitions and Concept Lattices, Discrete Methods in Epidemiology, AMS-DIMACS Series, 70, 115–138, 2006.
Abello, J., Hadlak, S., Schumann, H., and Schulz, H.-J.: A Modular Degree-of-Interest Specification for the Visual Analysis of Large Dynamic Networks, IEEE T. Visual. Comput. Graph., 20, 337–350, 2014.
Adar, E.: GUESS: A Language and Interface for Graph Exploration, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI), ACM, New York, NY, USA, 2006.
Aigner, W., Miksch, S., Schumann, H., and Tominski, C.: Visualization of Time-Oriented Data, Springer, London, UK, 2011.
Albert, R. and Barabasi, A. L.: Statistical Mechanics of Complex Networks, Rev. Modern Phys., 74, 47–97, 2002.
Short summary
The paper reviews the available visualisation techniques and tools for the visual analysis of geo-physical climate networks. The results from a questionnaire with experts from non-linear physics are presented, and the paper surveys recent developments from information visualisation and cartography with respect to their applicability for visual climate network analytics. Several case studies based on own solutions illustrate the potentials of state-of-the-art network visualisation technology.