Dear all,
There are still a few spaces for the Physalia course "Analysing Biodiversity Through Time and Space using R": https://www.physalia-courses.org/courses-workshops/biogeography-in-r/
This online course (Sept 5-6, 9-10-11) equips researchers and enthusiasts with the skills to analyze biodiversity patterns across time and space using R. This course will provide an in-depth guide to constructing reproducible, automated workflows for biodiversity data acquisition, cleaning, and analysis in R. These workflows will be applicable to both palaeontological and neontological datasets, allowing for their seamless integration during biodiversity analysis through time and across space. We will discuss how sampling links true and observed diversity patterns and through a series of practicals, you will learn how to interrogate biodiversity datasets to identify basic errors and sampling artefacts, then make robust estimates of diversity and diversification rates. Throughout the course, there will be a strong focus on visualising diversity data to ensure that its limitations can be properly understood during analysis.
To provide the context for these practicals, we will discuss theory on the processes which generate biodiversity and its spatial and temporal patterns in both modern and palaeontological contexts, including latitudinal gradients, hotspots, and mass extinctions, and popular hypotheses of how relevant patterns were shaped.
In this course, you will learn how to:
- Build automated workflows for data acquisition, cleaning & analysis (R)
- Interrogate data for errors & sampling biases
- Estimate diversity & diversification rates
- Visualize data for clear communication
- Understand processes shaping biodiversity (past & present)
For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/
