Exploratory spatio-temporal visualization: an analytical review

By Natalia V. Andrienko, Gennady L. Andrienko, P. Gatalsky. Journal of Visual Languages and Computing, 2003

483 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geography, Planning and Development, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a080ca658613b80c6b3593f5ea12d8f297a88116

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Alan M. MacEachren
2. Jin Chen
3. Ke Liao
4. Diansheng Guo
5. Gennady L. Andrienko
6. Natalia V. Andrienko

In Geography, Planning and Development

1. Diansheng Guo
2. Daniel R. Montello
3. Menno Jan Kraak

In Signal Processing

1. Alan M. MacEachren
2. Jin Chen
3. Ke Liao
4. Diansheng Guo
5. Daniel R. Montello

Citations in the corpus

• A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP) (2006, background): “Such data hold great potential to provide valuable and previously unknown information that can advance our understanding of complex phenomena and systems [3], [12], [17].”
• SensePlace2: GeoTwitter analytics support for situational awareness (2011, background): “For SA in a domain like crisis management in which “place” is critical, the now classic approach to organizing information into place, time, and concept/theme components is a logical basis for organizing a visual interface that supports foraging and sensemaking activities generally along with more s”