Visual Analytics for Cheetah Behaviour Analysis

被引:2
|
作者
Klein, Karsten [1 ]
Jaeger, Sabrina [1 ]
Melzheimer, Joerg [2 ]
Wachter, Bettina [2 ]
Hofer, Heribert [2 ]
Baltabayev, Artur [1 ]
Schreiber, Falk [1 ]
机构
[1] Univ Konstanz, Constance, Germany
[2] Leibniz Inst Zoo & Wildlife Res, Dept Evolutionary Ecol, Berlin, Germany
来源
PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON VISUAL INFORMATION COMMUNICATION AND INTERACTION, VINCI 2019 | 2019年
关键词
visual analytics; animal movement; data visualisation; machine learning;
D O I
10.1145/3356422.3356435
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:8
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