Articles | Volume 22, issue 5
https://doi.org/10.5194/npg-22-545-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-22-545-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
23 Sep 2015
Review article |
| 23 Sep 2015
Review: visual analytics of climate networks
T. Nocke
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473 Potsdam, Germany
S. Buschmann
Hasso Plattner Institute, Prof.-Dr.-Helmert-Str. 2–3, 14482 Potsdam-Babelsberg, Germany
J. F. Donges
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473 Potsdam, Germany
Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 114 19 Stockholm, Sweden
N. Marwan
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473 Potsdam, Germany
H.-J. Schulz
Fraunhofer Institute for Computer Graphics Research, Joachim-Jungius-Str. 11, 18059 Rostock, Germany
C. Tominski
Institute for Computer Science, University of Rostock, Albert-Einstein-Str. 22, 18059 Rostock, Germany
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Cited
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- An overview of visualization and visual analytics applications in water resources management H. Xu et al. 10.1016/j.envsoft.2022.105396
- The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets S. Afzal et al. 10.1111/cgf.13731
- Commercial Visual Analytics Systems–Advances in the Big Data Analytics Field M. Behrisch et al. 10.1109/TVCG.2018.2859973
- Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review V. Anderson et al. 10.1007/s00484-020-02063-z
- Uncertainty‐aware Visualization of Regional Time Series Correlation in Spatio‐temporal Ensembles M. Evers et al. 10.1111/cgf.14326
- Coupled network analysis revealing global monthly scale co-variability patterns between sea-surface temperatures and precipitation in dependence on the ENSO state N. Ekhtiari et al. 10.1140/epjs/s11734-021-00168-z
- Visual clutter reduction in zoomable proportional point symbol maps T. Opach et al. 10.1080/15230406.2018.1490202
- An interactive visual analysis tool for investigating teleconnections in climate simulations A. Antonov et al. 10.1007/s12665-019-8295-z
- Complex network description of the ionosphere S. Lu et al. 10.5194/npg-25-233-2018
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. 10.1109/TVCG.2017.2779501
- Analysis of structural differences and causes of ENSO temperature network H. Hu et al. 10.7498/aps.70.20210825
- Visual Basic and MathCAD used for Visualization and modeling STEM education Z. Akhatayeva et al. 10.1007/s10639-024-12776-y
- Topology of sustainable management of dynamical systems with desirable states: from defining planetary boundaries to safe operating spaces in the Earth system J. Heitzig et al. 10.5194/esd-7-21-2016
- A survey on visual data representation for smart grids control and monitoring M. Sanchez-Hidalgo & M. Cano 10.1016/j.segan.2018.09.007
- Unified functional network and nonlinear time series analysis for complex systems science: Thepyunicornpackage J. Donges et al. 10.1063/1.4934554
- Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization C. Neuhauser et al. 10.1109/TVCG.2023.3326855
- State of the Art in Edge and Trail Bundling Techniques A. Lhuillier et al. 10.1111/cgf.13213
- A review on turbulent and vortical flow analyses via complex networks G. Iacobello et al. 10.1016/j.physa.2020.125476
- GPU-based, interactive exploration of large spatiotemporal climate networks S. Buschmann et al. 10.1063/5.0131933
- Statistical physics approaches to the complex Earth system J. Fan et al. 10.1016/j.physrep.2020.09.005
- Visualizing and Interacting with Geospatial Networks: A Survey and Design Space S. Schöttler et al. 10.1111/cgf.14198
21 citations as recorded by crossref.
- An overview of visualization and visual analytics applications in water resources management H. Xu et al. 10.1016/j.envsoft.2022.105396
- The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets S. Afzal et al. 10.1111/cgf.13731
- Commercial Visual Analytics Systems–Advances in the Big Data Analytics Field M. Behrisch et al. 10.1109/TVCG.2018.2859973
- Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review V. Anderson et al. 10.1007/s00484-020-02063-z
- Uncertainty‐aware Visualization of Regional Time Series Correlation in Spatio‐temporal Ensembles M. Evers et al. 10.1111/cgf.14326
- Coupled network analysis revealing global monthly scale co-variability patterns between sea-surface temperatures and precipitation in dependence on the ENSO state N. Ekhtiari et al. 10.1140/epjs/s11734-021-00168-z
- Visual clutter reduction in zoomable proportional point symbol maps T. Opach et al. 10.1080/15230406.2018.1490202
- An interactive visual analysis tool for investigating teleconnections in climate simulations A. Antonov et al. 10.1007/s12665-019-8295-z
- Complex network description of the ionosphere S. Lu et al. 10.5194/npg-25-233-2018
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. 10.1109/TVCG.2017.2779501
- Analysis of structural differences and causes of ENSO temperature network H. Hu et al. 10.7498/aps.70.20210825
- Visual Basic and MathCAD used for Visualization and modeling STEM education Z. Akhatayeva et al. 10.1007/s10639-024-12776-y
- Topology of sustainable management of dynamical systems with desirable states: from defining planetary boundaries to safe operating spaces in the Earth system J. Heitzig et al. 10.5194/esd-7-21-2016
- A survey on visual data representation for smart grids control and monitoring M. Sanchez-Hidalgo & M. Cano 10.1016/j.segan.2018.09.007
- Unified functional network and nonlinear time series analysis for complex systems science: Thepyunicornpackage J. Donges et al. 10.1063/1.4934554
- Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization C. Neuhauser et al. 10.1109/TVCG.2023.3326855
- State of the Art in Edge and Trail Bundling Techniques A. Lhuillier et al. 10.1111/cgf.13213
- A review on turbulent and vortical flow analyses via complex networks G. Iacobello et al. 10.1016/j.physa.2020.125476
- GPU-based, interactive exploration of large spatiotemporal climate networks S. Buschmann et al. 10.1063/5.0131933
- Statistical physics approaches to the complex Earth system J. Fan et al. 10.1016/j.physrep.2020.09.005
- Visualizing and Interacting with Geospatial Networks: A Survey and Design Space S. Schöttler et al. 10.1111/cgf.14198
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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.
The paper reviews the available visualisation techniques and tools for the visual analysis of...
