A Visual Analytics Approach to Exploration of Large Amounts of Movement Data

Authors:
Gennady Andrienko;Natalia Andrienko
Affiliations:
Fraunhofer Institute Intelligent Analysis and Information Systems, Germany;Fraunhofer Institute Intelligent Analysis and Information Systems, Germany
Venue:
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Year:
2008

Citing 2
Cited 2

Visual analytics tools for analysis of movement data

ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery

Mobility, Data Mining and Privacy: Geographic Knowledge Discovery

Median trajectories using well-visited regions and shortest paths

Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Visualization of vessel movements

EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Thanks to the recent progress in positioning and tracking technologies, data about various mobile objects or agents are currently collected in growing amounts. Analysis of such data can yield valuable knowledge about the movement behaviors of the objects and about the environment in which they move. Since movement data by themselves lack semantics (essentially, the records consist of coordinates and time stamps), their analysis requires the involvement of a human expert, who can interpret the data on the basis of his/her knowledge. This includes the general knowledge of the (geographic) space, time, and movement as well as territory- and domain-specific knowledge.