We present a method to interactively explore multiple attributes in trajectory data using
density maps, ie, images that show an aggregate overview of massive amounts of data. So …

Trajectories capture the movements of objects with multiple attributes. A visualization
method called density maps shows trends in these trajectories. Density map creation …

We discuss methods to visualize large amounts of object movements described with so
called multivariate trajectories, which are lists of records with multiple attribute values about …

This article describes a new automatic quadtree-/octree-based and scale-dependent
generalization algorithm for point selection. The benefit toward existing point selection …

The purpose of this article is to investigate the density calculation and representation of
spatially and temporally highly dynamic point data sets. We suggest an approach to explore …

Globally, most weather-related damages are caused by thunderstorms. Besides floods,
strong wind, and hail, one of the major thunderstorm ground effects is lightning. Therefore …

Abstract “Classic” kernel density estimations (KDE) can display static densities representing
one point in time. It is not possible to visually identify which parts of the densities are moving …

The goal of maritime traffic management is to provide a safe and efficient maritime
environment for different type of vessels facilitating port logistics and supply chain business …

We present a list of measures for a single trajectory, including measures that require the
presence of other trajectories, such as the centrality of a trajectory amidst other trajectories …

This paper describes a framework for a visual analysis of lightning data described by 3D
coordinates and the precise occurrence time. First lightning cells are detected and tracked …