Towards a taxonomy of movement patterns

By Somayeh Dodge, Robert Weibel, Anna-Katharina Lautenschütz. Information Visualization, 2008

411 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/b2ec705de807615889adc0daa343842ec227d6b5

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. Gennady L. Andrienko
2. Natalia V. Andrienko
3. Daniel A. Keim
4. Peter Bak
5. Stefan Wrobel
6. Vipin Kumar
7. Anuj Karpatne
8. Gowtham Atluri

In Geography, Planning and Development

1. Daniel A. Keim
2. Gennady L. Andrienko
3. Natalia V. Andrienko
4. Peter Bak
5. Stefan Wrobel
6. Vipin Kumar
7. Anuj Karpatne
8. Gowtham Atluri

In Signal Processing

1. Anuj Karpatne
2. Vipin Kumar
3. Gowtham Atluri
4. Daniel A. Keim
5. Natalia V. Andrienko
6. Gennady L. Andrienko
7. Stefan Wrobel
8. Peter Bak

Citations in the corpus

• Visual Analytics of Movement (2013, background): “2005), “movement patterns” (Dodge et al. 2008; Laube 2009), or “interactions” (Orellana and Renso 2010).”
• The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data (2013, background): “Such vast datasets are well suited for sophisticated, context-aware data mining and pattern recognition techniques that allow researchers to discover patterns of movement in response to changes in the environment [27,28].”
• Spatio-Temporal Data Mining (2017, methodology): “Algorithms for detecting moving clusters of trajectories have been developed in [Kalnis et al. 2005] and in subsequent studies [Dodge et al. 2008; Jeung et al. 2008; Li et al. 2010].”