2 Course schedule

2.1 Monday

Time	Item
9:00	Course introduction, housekeeping, presentation of participants
10:00	Break
10:15	Introduction to R and the Tidyverse
11:15	Break
11:30	Open data and data cleaning
12:30	Lunch
13:00	Finding and downloading data through the rOpenSci packages
14:00	Break
14:15	Mapping
15:15	Break
15:30	Data visualisation
17:30	End day 1

2.2 Tuesday

Time	Item
9:00	What are species distribution models?
10:00	Break
10:15	Recent and past application of SDMs
11:15	Break
11:30	Preparation for exercises
12:30	Lunch
13:30	Run a simple SDM, understand and generate SDM outputs
15:00	Break
15:15	SDM calibration: what you should know before running a model
17:30	End day 2

2.3 Wednesday

Time	Item
9:30	Introduction to different SDM algorithms
10:30	Break
10:45	Questions, complete previous courses if necessary
12:30	Lunch
13:30	Personal work
17:30	End day 3

2.4 Thursday

Time	Item
9:30	Personal work (with breaks)
17:30	End Day 4

2.5 Friday

Time	Item
9:30	Personal work, final presentations, and discussion (with breaks)
17:00	End Day 5