Visual analytics of movement: An overview of methods, tools and procedures

@article{Andrienko2013VisualAO,
  title={Visual analytics of movement: An overview of methods, tools and procedures},
  author={Natalia V. Andrienko and Gennady L. Andrienko},
  journal={Information Visualization},
  year={2013},
  volume={12},
  pages={24 - 3}
}
Analysis of movement is currently a hot research topic in visual analytics. [] Key Result Besides reviewing the existing works, we demonstrate, using examples, how different visual analytics techniques can support our understanding of various aspects of movement.

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References

SHOWING 1-10 OF 74 REFERENCES
Exploration through enrichment: a visual analytics approach for animal movement
TLDR
This paper presents an exploration through enrichment approach, which enables iterative generation of metadata based on exploratory findings and is aimed at enabling domain experts to explore their data beyond traditional means.
Visually driven analysis of movement data by progressive clustering
TLDR
The paper investigates the possibilities of using clustering techniques in visual exploration and analysis of large numbers of trajectories, that is, sequences of time-stamped locations of some moving entities, and suggests the procedure of progressive clustering where a simple distance function with a clear meaning is applied on each step which leads to easily interpretable outcomes.
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data
TLDR
This work presents an approach utilising Visual Analytics methods to explore and understand the temporal variation of spatial situations derived from episodic movement data by means of spatio-temporal aggregation.
A conceptual framework and taxonomy of techniques for analyzing movement
TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection
TLDR
An interactive visual analytics system for exploring and analyzing complex traffic trajectory data, Triple Perspective Visual Trajectory Analytics (TripVista), equipped with a carefully designed interface to inspect data interactively from three perspectives (spatial, temporal and multi-dimensional views).
Flowstrates: An Approach for Visual Exploration of Temporal Origin‐Destination Data
TLDR
Flowstrates is presented, a new interactive visualization approach in which the origins and the destinations of the flows are displayed in two separate maps, and the changes over time of the flow magnitudes are represented in a separate heatmap view in the middle.
Visualization of Vessel Traffic
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 the state of the
Spatial Generalization and Aggregation of Massive Movement Data
TLDR
A method for spatial generalization and aggregation of movement data, which transforms trajectories into aggregate flows between areas, and introduces local and global numeric measures of the quality of the generalization.
Spatial Generalization and Aggregation of Massive Movement Data
TLDR
A method for spatial generalization and aggregation of movement data, which transforms trajectories into aggregate flows between areas, and introduces local and global numeric measures of the quality of the generalization.
Interactive visual clustering of large collections of trajectories
TLDR
This work proposes an approach to extracting meaningful clusters from large databases by combining clustering and classification, which are driven by a human analyst through an interactive visual interface.
...
...