We’ll use a complete workflow - from data download to maps of predictions - to model a species’ geographic distributions (ranges). Goals include understanding:
(1) Modeling decisions
(2) Statistical regression techniques
(3) Machine learning techniques
(4) Raster manipulation
(5) Customize plots
(6) How to write a workflow that others can use
Note: The application in this workshop is somewhat specific to biology, but relies on generally useful computation in R, logistic and Poisson regression techniques, and spatial tools common in all scientific fields. All members of the Yale community are welcome!