We present a novel integrated visualization system that enables interactive visual analysis of sea-surface temperature fronts near China sea. The occurrences and locations of fronts are identified by adjustable temperature gradient thresholds and real-time visual evaluations with an interactive interface. Then, we derive object-level features to characterize fronts and design multiple coordinated views for interactive exploring of fronts’ features (geographical distribution, the area, the intensity, the temporal trend and spatial state measurements) in both spatial and temporal domain to discover the various characteristics of SST fronts. Moreover, we integrate self-organizing map into the system for automatically clustering multiple fronts, design the novel composite U-matrix and component plane to evaluate the clustering outputs and allowing manually adjust the clusters affiliation by directly dragging and dropping nodes on an expandable tree. With the collaborative display of sequence-view, parallel coordinate plot and geographical map, the characteristics of similarities and differences between front clusters can be easily discovered. Finally, we present case studies highlighting the effectiveness of the system.
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The authors would like to thank the anonymous reviewers for their valuable comments, which help to improve the quality of this work. This work was supported by the National Key Research and Development Program of China (2020YFE0201200), the Youth Program of Natural Science Foundation of China (41706010).
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Xie, C., Song, J. & Dong, J. OFExplorer: multi-facetted visual analysis of ocean front. J Vis (2021). https://doi.org/10.1007/s12650-021-00774-y
- Sea-surface temperature front
- Visual analysis
- Spatiotemporal patterns