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Dynamic Multiscale Visualization of Flight Data
english
2014
Proceedings of the 9th International Conference on Computer Vision Theory and Applications
english
We present a novel set of techniques for visualization of very large data sets encoding flight information obtained from Air Traffic Control. The aims of our visualization are to provide a smooth way to explore the available information and find outlier spatio-temporal patterns by navigating between fine-scale, detail, views on the data and coarse overviews of large areas and long time periods. To achieve this, we extend and adapt several image-based visualization techniques, including
doi:10.5220/0004685701040114
dblp:conf/visapp/KleinZT14
fatcat:bahmmssru5gs7joura3hmijmb4