Course dates: 09 - 13 March, 2020 (arrival on Sunday the 8th of March)
Registration dates: TBA (December 2020)
University of Potsdam, Germany
SPACES project: ORYCS
Location: TBA (close to the ORYCS study region about 500 km from Windhoek - arrival and departure will be organised from a central meeting point at Windhoek)
Transfer to course site, basic accommodation, and catering as indicated in the program are funded for selected participants.
Course coordinator: Dr. Dirk Lohmann
Southern African MSc and PhD students, Early career researchers from SPACES II related fields of research
Teaching concept and aims:
The short course is an introduction to various types of quantitative research methods in savanna ecology. Three research topics with respective case studies will guide our short course:
Besides the introduction to basic principles of experimental design and techniques for data collection in the field, the course covers statistical analysis and graphical presentation of results using the open-source statistical software R.
Participants will use real ecological and ecohydrological data mutually collected during the course. They will be encouraged to develop own research plans, outline specific hypotheses, determine the most suitable experimental or sampling approach and to identify the appropriate statistical test and its application in R using these data. Particular attention will be given to the visualization of scientific results.
During the second part of the course, a special focus is set on the analysis of the individual data sets which the participants have brought along (see application requirements). This can either be data sets of smaller study projects or data from thesis projects of participants.
Expected learning outcomes:
Please apply electronically by clicking on the link at the top of this course description (the live link will be opened in December 2020 and closed at the end of the registration period).
Documents to be provided by the applicant:
Only completely submitted applications will be considered.
The language of instruction is English, no prior experience in R is necessary.