Heidi Rautiainen
Presentation
Research skills:
Working with collection, handling, and analysing large data sets of (GPS and acceleration) data in R, QQIS and Anaconda, with main interest in spatial modeling and machine learning. Co-production of knowledge with stakeholders, both by individual interviews (using thematic content analysis approach) and workshops.
Research activities:
In the organizing committee for Arctic Ungulate Conference, Jokkmokk, 2019 and in the organizing and scientific committee for Reindeer Husbandry Conference, Alta, 2025.
Research groups
Teaching
Teaching (mainly reindeer biology, husbandry, welfare, and diseases) in bachelor and master courses at the Faculty of Veterinary Medicine and Animal Science, SLU:
- Basic science - agriculture and animal science, HV0211
- Ruminant production, HV0210
- Reindeer biology and reindeer husbandry, HV0216
- Animal husbandry, animal health and infectious disease control, BI1388
- Animal nutrition and welfare, HV0201
Teaching (R and GIS) in PhD courses Data handling and high-quality illustrations for publications (P000085) and Animal movements - from free ranging to restricted indoor environments (P000012), with focus on spatial data handling and modelling in R.