Bodt, Thomas DeAdams, BartAerts, JanAnna Puig Puig and Tobias Isenberg2017-06-122017-06-122017978-3-03868-044-4https://doi.org/10.2312/eurp.20171170https://diglib.eg.org:443/handle/10.2312/eurp20171170Today location information on aircraft and vessels is collected worldwide and readily available to analysts. When analyzing such data for a large area or a long period of time, the sheer size of the dataset becomes a challenge. Especially when one wants to work interactively at both overview and detail scales. We present a scalable approach to visualize such data by treating it as a set of trajectories simplified at different error rates. When combined with tiling and GPU-based visualization, we can interactively and visually analyze a dataset of 1 billion position records on a workstation.I.3.5 [Computer Graphics]Computational Geometry and Object ModelingHierarchy and geometric transformationsInteractive Visualization of Massive Location Data using Multi-Scale Trajectories10.2312/eurp.2017117065-67