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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(More)
We consider moving objects as multivariate time-series. By visually analyzing the attributes, patterns may appear that explain why certain movements have occurred. Density maps as proposed by Scheepens et al. [25] are a way to reveal these patterns by means of aggregations of filtered subsets of trajectories. Since filtering is often not sufficient for(More)
Density maps show trends in objects' trajectories. Density map creation involves aggregating smoothed trajectories in a density field and visualizing the field. Using an interactive distribution map, users can define subsets and, supported by graphics hardware, get fast feedback for these computationally expensive density field calculations.
Figure 1: A density map of vessel traffic in front of Rotterdam during a single day. The density map is a combination of four density fields each covering a quarter of the day. The following manually defined color map is used: night is dark blue, morning is bright yellow, afternoon is dark yellow, and evening is bright blue. Furthermore, the saturation of(More)
There are many visualizations that show the trajectory of a moving object to obtain insights in its behavior. In this user study, we test the performance of three of these visualizations with respect to three movement features that occur in vessel behavior. Our goal is to compare the recently presented vessel density by Willems et al. [WvdWvW09] with(More)
First I would like to thank my supervisor, dr. ir. Huub van de Wetering, for his support and advice over the course of the project. I would also like to thank my tutor, ir. Niels Willems for his support and technical advice. Both my supervisor and tutor have supplied invaluable ideas and advice to help shape the course of the project. Additionally, I would(More)
Fig. 1. Presto enables maritime-domain experts to insert artificial vessel trajectories in tracked AIS data. An artificial track, in orange, is added in the opposite direction of a Dutch sea lane that is visible by a trail of green triangles, which indicate tracked vessels. Abstract—We present an integrated and multidisciplinary approach for analyzing(More)
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