Abstract
Recent advances in tracking technology allow biologists to collect large amounts of movement data for a variety of species. Analysis of the collected data supports research on animal behaviour, influence of impact factors such as climate change and human intervention, as well as conservation programs. Analysis of the movement data is difficult, due to the nature of the research questions and the complexity of the data sets. It requires both automated analysis, e.g. for the detection of behavioural patterns, and human inspection, e.g. for interpretation, inclusion of previous knowledge, and for conclusions on future actions and decision making. We present a concept and implementation for the visual analysis of cheetah movement data in a web-based fashion that allows usage both in the field and in office environments.
Original language | English |
---|---|
Title of host publication | Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019 |
Editors | Changbo Wang, Michael Burch, Michael Krone |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 8 |
ISBN (Electronic) | 9781450376266 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |
Event | International Symposium on Visual Information Communication and Interaction 2019 - Shanghai, China Duration: 20 Sep 2019 → 22 Sep 2019 Conference number: 12th http://vinci-conf.org/2019/ (Website) https://dl.acm.org/doi/proceedings/10.1145/3356422 (Proceedings) |
Conference
Conference | International Symposium on Visual Information Communication and Interaction 2019 |
---|---|
Abbreviated title | VINCI 2019 |
Country | China |
City | Shanghai |
Period | 20/09/19 → 22/09/19 |
Internet address |
|
Keywords
- Animal movement
- Data visualisation
- Machine learning
- Visual analytics