Resources
Recommended textbooks
- Measuring Biological Diversity, Magurran (2004) (available online)
- Biological Diversity, Magurran and McGill (2011) (available online)
- Numerical Ecology, Legendre and Legendre (2013) (available online)
- Introductory Statistics with R, Dalgaard (2008) (available online)
- Numerical Ecology with R, Borcard, Gillet, and Legendre (2011) (available online)
- Functional and Phylogenetic Ecology in R, Swenson (2014) (available online)
- Phylogenies in Ecology, Cadotte and Davies (2016) (available online)
- Pro Git, Chacon and Straub (available online)
Computational approaches to biodiversity using R and GitHub
We use R for statistical computing and data visualization, RStudio as a working environment, and GitHub to track and collaborate on course projects. Students use their own GitHub repositories for work and submissions.
Other course resources
Assigned papers and lecture slides may be posted through .
PDF versions of required papers, along with slides from class lectures can be posted on the IU’s learning management system, IU Canvas. We will be using Slack as a primary way to communicate and problem-solve over the duration of the course.