Module 2: Morphological diversity & disparity
Welcome to Module 4: Morphology!
When | What |
---|---|
Aug 09 | Day 3: Disparity & traitspace |
Aug 10 | Day 4: Phylogenetic comparative methods |
+ bonus Open science discussion |
Day 5: Disparity & traitspace
with Thomas Guillerme (University of Sheffield)
Schedule
From | To | Details |
---|---|---|
9:30 | 10:00 | Intro with a coffee |
10:00 | 11:30 | Part 1: from traits to traitspaces |
11:30 | 12:00 | Part 2: from traitspaces to disparity (1) |
12:00 | 13:00 | Lunch |
13:00 | 14:00 | Part 2: from traitspaces to disparity (2) |
14:00 | 16:00 | Part 3: from disparity to macroevolution |
Don’t worry to much if it looks packed without much coffee breaks, they are designed within in each part to refresh your brain cells and move around a bit!
Content
Everything is available here. But here’s a run down of what we are going to cover:
Part 1:
Theory:
- morphological traits
- ordination: PCA and PCO (incl. distance matrices).
Skills:
- reading trait data into R.
- ordinating data into R.
Part 2:
Theory:
- what is disparity?
- the multidimensional nightmare.
- reducing dimensionality
- mechanisms, processes and patterns in biology
Skills:
- an intro to the dispRity package
- measuring disparity
- reducing dimensionality
- choosing and testing disparity metrics.
Part 3:
Theory:
- testing hypotheses with disparity
- testing hypotheses through time
- simple disparity models
- phylogenetic comparative methods and disparity? [teaser for the next day]
- disparity of disparity analyses
Skills:
- comparing disparity between groups
- comparing disparity through time
- disparity-through-time (dtt) analyses
- disparity study design
Phylogenetic comparative methods & Open Science: August 10
with Thomas Guillerme & Emma Dunne
Schedule
From | To | Details |
---|---|---|
10:00 | 11:00 | Part 1: Intro to PCMs |
11:00 | 11:15 | Coffee break |
11:30 | 12:00 | Part 1: PCMs in R |
12:00 | 13:00 | Lunch |
13:00 | 15:00 | Part 2: Best practices in open science |
Purpose
- Introduction to phylogenetic comparative methods (PCMs)
- Example analyses in R using bespoke packages
- Exploration of morphological trait evolution