Scalable Analysis of Movement Data for Extracting and Exploring Significant Places

@article{Andrienko2013ScalableAO,
  title={Scalable Analysis of Movement Data for Extracting and Exploring Significant Places},
  author={Gennady L. Andrienko and Natalia V. Andrienko and Christophe Hurter and Salvatore Rinzivillo and Stefan Wrobel},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2013},
  volume={19},
  pages={1078-1094}
}
Place-oriented analysis of movement data, i.e., recorded tracks of moving objects, includes finding places of interest in which certain types of movement events occur repeatedly and investigating the temporal distribution of event occurrences in these places and, possibly, other characteristics of the places and links between them. For this class of problems, we propose a visual analytics procedure consisting of four major steps: 1) event extraction from trajectories; 2) extraction of relevant… CONTINUE READING
Highly Cited
This paper has 73 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 1 time. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 40 extracted citations

What can spatial collectives tell us about their environment?

2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) • 2014
View 4 Excerpts
Highly Influenced

Density-Based Place Clustering Using Geo-Social Network Data

IEEE Transactions on Knowledge and Data Engineering • 2018
View 1 Excerpt

StreamMap: Smooth Dynamic Visualization of High-Density Streaming Points

IEEE Transactions on Visualization and Computer Graphics • 2018
View 1 Excerpt

VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data

IEEE Transactions on Visualization and Computer Graphics • 2018

74 Citations

01020'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 74 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 42 references

A framework for visualization and exploration of events

Information Visualization • 2008
View 3 Excerpts
Highly Influenced

Andrienko . Scalable Cluster Analysis of Spatial Events .

G. Fuchs I. Peca, K. Vrotsou, G. N. Andrienko
In : Proceedings of International Workshop on Visual Analytics ( EuroVA • 2012

An event-based conceptual model for context-aware movement analysis

International Journal of Geographical Information Science • 2011
View 7 Excerpts

Andrienko . Spatial generalization and aggregation of massive movement data

G. N. Andrienko
IEEE Transactions on Visualization and Computer Graphics • 2011

Andrienko and G . Andrienko , “ Spatial Generalization and Aggregation of Massive Movement Data

M. Breunig, H.-P. Kriegel
IEEE Trans . Visualization and Computer Graphics • 2011

Similar Papers

Loading similar papers…