Space, time and visual analytics
By Gennady L. Andrienko, Natalia V. Andrienko, Urška Demšar, D. Dransch, J. Dykes, S. Fabrikant, M. Jern, Menno Jan Kraak, H. Schumann, Christian Tominski. International Journal of Geographical Information Science, 2010
474 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/432469754e244ce2a6ca474212b16ee81dea3654
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
- Shixia Liu
- Yingcai Wu
- Gennady L. Andrienko
- Natalia V. Andrienko
- Ronghua Liang
- Guodao Sun
- H. Schumann
- Christian Tominski
In Geography, Planning and Development
- Gennady L. Andrienko
- Natalia V. Andrienko
- Yingcai Wu
- Shixia Liu
- Ronghua Liang
- Guodao Sun
- H. Schumann
- Christian Tominski
In Signal Processing
- Shixia Liu
- Yingcai Wu
- Gennady L. Andrienko
- Natalia V. Andrienko
- Ronghua Liang
- Guodao Sun
- H. Schumann
- David Camacho
Citations in the corpus
- Social big data: Recent achievements and new challenges (2015, background): “• The open problems and challenges related to visual analytics [145] , especially related to the capacity to collect and store new data, are rapidly increasing in number, including the ability to analyse these data volumes [150] , to record data about the movement of people and objects at a large sc”
- A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, background): “To the best of our knowledge, the surveys of visual analytics published in the last few years mainly focus on some narrow topics of visual analytics, such as visual analysis of time-oriented data([12]), spatio-temporal data([13]), or network data([14]).”
- Stacking-Based Visualization of Trajectory Attribute Data (2012, background): “A recent review [6] indicates that the analysis of movement data in general is still one of the most important topics in many fields of research, including data mining, GIScience, and visual analytics (see for example [12, 2, 13]).”