Illumination for computer generated pictures
Communications of the ACM
Proceedings of the conference on Visualization '01
IEEE Transactions on Visualization and Computer Graphics
Hotmap: Looking at Geographic Attention
IEEE Transactions on Visualization and Computer Graphics
A Visual Analytics Approach to Exploration of Large Amounts of Movement Data
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Activity Analysis Using Spatio-Temporal Trajectory Volumes in Surveillance Applications
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Towards a taxonomy of movement patterns
Information Visualization
Median trajectories using well-visited regions and shortest paths
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Winding roads: routing edges into bundles
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Evaluation of the visibility of vessel movement features in trajectory visualizations
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Opening up the "black box" of medical image segmentation with statistical shape models
The Visual Computer: International Journal of Computer Graphics
Representing positional uncertainty of individual and aggregated trajectories of moving objects
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Vector field k-means: clustering trajectories by fitting multiple vector fields
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
Visualizing interchange patterns in massive movement data
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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We propose a geographical visualization to support operators of coastal surveillance systems and decision making analysts to get insights in vessel movements. For a possibly unknown area, they want to know where significant maritime areas, like highways and anchoring zones, are located. We show these features as an overlay on a map. As source data we use AIS data: Many vessels are currently equipped with advanced GPS devices that frequently sample the state of the vessels and broadcast them. Our visualization is based on density fields that are derived from convolution of the dynamic vessel positions with a kernel. The density fields are shown as illuminated height maps. Combination of two fields, with a large and small kernel provides overview and detail. A large kernel provides an overview of area usage revealing vessel highways. Details of speed variations of individual vessels are shown with a small kernel, highlighting anchoring zones where multiple vessels stop. Besides for maritime applications we expect that this approach is useful for the visualization of moving object data in general.