Visual analytics for cheetah behaviour analysis

Karsten Klein, Sabrina Jaeger, Jörg Melzheimer, Bettina Wachter, Heribert Hofer, Artur Baltabayev, Falk Schreiber

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
EditorsChangbo Wang, Michael Burch, Michael Krone
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)9781450376266
Publication statusPublished - 2019
Externally publishedYes
EventInternational Symposium on Visual Information Communication and Interaction 2019 - Shanghai, China
Duration: 20 Sep 201922 Sep 2019
Conference number: 12th (Website) (Proceedings)


ConferenceInternational Symposium on Visual Information Communication and Interaction 2019
Abbreviated titleVINCI 2019
Internet address


  • Animal movement
  • Data visualisation
  • Machine learning
  • Visual analytics

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