Half-day workshop 2-June-2022
Instructors: Damaris Zurell and Anne Malchow (Univ. Potsdam), and Greta Bocedi and Justin Travis (Univ. Aberdeen)
Participants should bring a laptop with R installed. RangeshiftR requires R 3.6.0 or higher and Rcpp 1.0.1 or higher. Devtools is recommended for an easy installation. Please install the RangeShiftR package prior to the workshop following the instructions on https://rangeshifter.github.io/RangeshiftR-tutorials/installing.html.
- Introduction to individual-based models and RangeShifter/RangeShiftR
- R practicals
- Discussion (Questions, Research ideas)
- Manual:
- RangeShifter manual: https://tinyurl.com/RangeShifter-ManuelEN
- Practicals:
- RangeShiftR tutorials: https://rangeshifter.github.io/RangeshiftR-tutorials/
- Teaching material on RangeShiftR case studies: https://damariszurell.github.io/EEC-QCB/