Course content is designed to be flexible to accommodate student interest and abilities.
| Date | Title | Description |
|---|---|---|
| Thurs, Jan 26 | Introduction | |
| Thurs, Feb 1 | Global Environmental and Biodiversity Information | |
| Thurs, Feb 8 | Spatial Modelling in R - an introduction | We’ll use spatial data to introduce fundamental concepts for the R programming language and teach best coding practices useful for beginners and experienced alike. Goals include: (1) Experience useful for future, more specific workshops with BGC; (2) Setting up a workflow to make sure coding isn’t annoying; (3) Loops; (4) Writing functions; (5) Using raster (spatial) data; (6) Customizable pretty plots. |
| Thurs, Feb 15 | Modelling species distributions in R | We’ll use a complete workflow – from data download to pretty maps of predictions – to model a species geographic distribution (range). Goals include learning how to use:(1) Understand modeling decisions; (2) Statistical regression techniques; (3) Machine learning techniques; (4) Manipulate rasters; (5) Customize plots; (6) Write a workflow that others can use. |
| Thurs, Feb 22 | Modeling marine biodiversity distributions | |
| Thurs, Mar 1 | Macroecology and spatial biodiversity science | |
| Thurs, Mar 8 | Biodiversity and Global Change | |
| Thurs, Mar 29 | Modelling animal migrations | |
| Thurs, Apr 5 | Modelling diversity change | |
| Thurs, Apr 12 | The evolutionary underpinning of species distributions | |
| Thurs, Apr 19 | Capturing species population change | |
| Thurs, Apr 26 | Projecting biodiversity change | |
| Thurs, May 2 | Biodiversity Movement and Global Change Symposium |