1
About this
Technical stuff
2
Course schedule
2.1
Monday
2.2
Tuesday
2.3
Wednesday
2.4
Thursday
2.5
Friday
3
Course Introduction
4
Overview
4.1
Preparation
4.2
Taxonomy
4.3
Occurrences
4.4
Environmental data
4.5
Fit model
4.6
Predict from model
4.7
Other bits and pieces
4.7.1
Place names
5
Introduction to R and the Tidyverse
5.1
Exercise R script
5.2
See also
6
Open data and data cleaning
6.1
FAIR principles
7
Metadata - Darwin Core
7.1
Darwin Core structure
7.2
Types of Darwin Core archives
7.3
Darwin Core details
7.3.1
Required metadata fields:
7.3.2
Citation auto generation
7.4
Metadata for occurrence data
7.4.1
What
7.4.2
Where
7.4.3
When
7.4.4
Who
7.4.5
How
8
Biological data
8.1
Taxonomy
8.2
Other packages
9
Environmental data
9.1
Bowerbird/blueant
9.1.1
Available data sets
9.1.2
Usage
9.2
RAADtools
9.3
Other useful packages
10
Mapping
10.1
Maps in R
10.1.1
Exercises
10.1.2
Let’s use the maps data!
10.2
SOmap
10.2.1
Circumpolar maps
10.2.2
Non-circumpolar maps
10.2.3
Plotting via ggplot2
10.2.4
Modifying map objects (advanced usage)
10.2.5
Other SOmap gotchas
10.3
Supporting data for maps
10.3.1
quantarcticR
10.3.2
antanym
11
Data visualisation
12
Recent and past application of SDMs
13
Species distribution modelling
13.1
SDM introduction and review
13.1.1
References
13.2
SDM outputs
13.2.1
References
13.3
Calibration
13.3.1
References
13.4
Exercise scripts
14
SDM algorithms
14.1
Exercises - Practice with models
14.1.1
Load and clean the data
14.1.2
One hot encoding!
14.1.3
The models
14.1.4
Regression problem
15
SDM extra bits and pieces
15.1
Spatial partial predictions
15.1.1
Example
16
Other R resources for Southern Ocean/Antarctic use
16.1
Diet data: sohungry
16.2
Allometric equations: solong
SCAR-EGABI Tools for Southern Ocean Spatial Analysis and Modelling
11
Data visualisation
Presentation (PDF)