Introduction to Quantitative Techniques in R for Conservation Biology
2021-02-17
1 Introduction
Biology, including ecology and conservation, is becoming increasingly quantitative. Familiarity with a range of statistical tools (frequentist, multivariate, Bayesian) is expected. Many researchers draw on quantitative methods; whether it is process or mathematical modelling, programming, bioinformatics, or bioeconomic analyses. We will only touch on key concepts in quantitative methods; in-depth training would require multiple full-semester courses.
In the process of increasing quantitative skills across the Biology curriculum, we have prepared an online guide for using R, that is designed for new users, and as a reference document for all Biology students. You can access it here. In this three-week module, we will carry out a few exercise that mimics some of the quantitative skills that you need to be a successful conservation biologist. These include:
- Data management (with an introduction to the
dplyr
package) - Plotting data effectively (with an introduction to the
ggplot2
package) - Univariate and multivariate statistical analysis (with an introduction to the
vegan
package)