The aim of this course is to learn method approaches to analyse movement
data on animals in natural, semi-natural or indoor environments. The
focus will be on using existing R packages for movement analysis
evaluating, how animals are affected by their environments and what
drives their behavioural decisions. The course will also deal with
animal
social interactions both from the individual perspective, ie how
agonistic behaviour in a group affect individual performance, and from a
group interaction perspective i.e. how group members are dependent on
each other in their behavioural decisions. We will exemplify these
behaviours and decisions to three different systems 1) free-ranging
reindeer use of natural pastures, 2) horses/cows in semi-natural
pastures, and 3) cows in an indoor environment. GPS-data, local
locational data systems (e.g., ultra-wideband) will be used during the
course.
On completion of the course, the student should be able to
1) describe and explain how to analyse and quantify animal movement data
from free-ranging (wild) animals, semi-natural pastures, and indoor
environments
2) use relevant R-packages (amt- move- etc..) for analysis of animal
movement data
3) reason around group dynamics in herd living animals
4) interpret results from social network analysis
Extent:
3 credits
Prerequisites
Admitted to a postgraduate program in animal science, biology,
veterinary
medicine or related subjects, and knowledge in R (at least 3 weeks of
course
work in R and experience of using R in their own research project) and
basic
knowledge in GIS and experience of using software such as ArcGIS, QGIS
or
similar.
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