Discovering relative motion patterns in groups of moving point objects

By Patrick Olivier Laube, Stephan Imfeld, Robert Weibel. International Journal of Geographical Information Science, 2005

318 citations recorded by the source corpus.

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Visual Traffic Jam Analysis Based on Trajectory Data (2013, background): “They have studied different kinds of patterns [23, 26].”
Visual analytics tools for analysis of movement data (2007, methodology): “An example is the work [12] where the approach is based on transforming movement data into sequences of symbols, which are then used as an input for the computational analysis.”
A conceptual view on trajectories (2008, methodology): “Analyses of groups of geospatial lifelines is used to extract knowledge about movement patterns [20].”
A model for enriching trajectories with semantic geographical information (2007, background): “2 The Problem of Trajectory Data Analysis The a priori integration of trajectory data with the background geographic information may lead to the discovery of semantic trajectory patterns that many data mining techniques [4, 9, 11, 14, 16] that consider trajectories as sample points (tid, x, y, t) ma”
Towards a taxonomy of movement patterns (2008, methodology): “10 Furthermore, visual analytic methods for exploratory analysis of movement data have been proposed by Andrienko and Andrienko.”
Visual Analytics of Movement (2013, background): “For spatiotemporal relations among movers, some researchers use special terms “relative motion patterns” (Laube et al. 2005), “movement patterns” (Dodge et al.”