Learn how to use constrained multivariate analyses!
R
In this workshop, you will learn how to perform advanced multivariate analyses on community data.
This workshop concentrates on constrained methods such as redundancy analysis (RDA), multivariate regression tree (MRT) and linear discriminant analysis (LDA) to explore how environmental variables may be driving patterns in species assemblage across sites.
Slides | Book | Script |
---|---|---|
English | English | English |
Français | Français | Français |
Archived written material is available on our wiki (EN, FR).
doubsspe.csv doubsenv.csv doubsspa.csv classifyme.csv
This workshop was originally developed by Monica Granados, Emmanuelle Chrétien, Bérenger Bourgeois, Amanda Winegardner and Xavier Giroux-Bougard. Material in the R script was originally derived from Borcard, Gillet & Legendre (2011). Numerical Ecology with R. Springer New York.
Since 2014, several QCBS members contributed to consistently and collaboratively develop and update this workshop, as part of the Learning and Development Award from the Québec Centre for Biodiversity Science. They were:
2022 - 2021 - 2020 | 2019 - 2018 - 2017 | 2016 - 2015 - 2014 |
---|---|---|
Katherine Hébert | Marie Hélène Brice | Monica Granados |
Gabriel Muñoz | Pedro Henrique P. Braga | Emmanuelle Chrétien |
Pedro Henrique P. Braga | Katherine Hébert | Bérenger Bourgeois |
Kevin Cazelles | Amanda Winegardner | |
Marie Hélène Brice | Xavier Giroux-Bougard | |
Vincent Fugère |