Dynamic Multiscale Visualization of Flight Data
english

Tijmen R. Klein, Matthew van der Zwan, Alexandru Telea
2014 Proceedings of the 9th International Conference on Computer Vision Theory and Applications  
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
more » ... , density maps, and bundled graphs. In contrast to previous methods, we are able to visualize significantly more information on a single screen, with limited clutter, and also create real-time animations of the data. For computational scalability, we implement our method using GPU-accelerated techniques. We demonstrate our results on several real-world data sets ranging from hours over a country to one month over the entire world.
doi:10.5220/0004685701040114 dblp:conf/visapp/KleinZT14 fatcat:bahmmssru5gs7joura3hmijmb4