Course Overview:
The course will describe recent methods (concepts and R tools) that can be used to analyse spatial patterns in community ecology. The umbrella concept of the course is beta diversity, which is the spatial variation of communities. These methods are applicable to all types of communities (bacteria, plants, animals) sampled along transects, regular grids or irregularly distributed sites. The new methods, collectively referred to as spatial eigen-function analysis, are grounded into techniques commonly used by community ecologists, which will be described first: simple ordination (PCA, CA, PCoA), multivariate regression and canonical analysis, permutation tests. The choice of dissimilarities that are appropriate for community composition data will also be discussed. The focal question is to determine how much of the community variation (beta diversity) is due to environmental sorting and to community-based processes, including neutral processes. Recently developed methods to partition beta diversity in different ways will be presented. Extensions will be made to temporal and space-time data.
This course will be a combination of pre-recorded lectures delivered by Prof. Pierre Legendre, Practical sessions with live support via email or video link and final live summary with Q and A at the end of each day Prof Pierre Legendre.
There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.
The recordings will be aired via zoom. Recordings last for approx. 4 hours. Followed by a 3-hour practical. And then an approx. 3 hour Q and A session with Pierre Legendre.
Recordings will be aired to accommodate different time zones listed below in GMT.
Group 1
Recordings 08:00 – 12:00
Practical 12:30 – 15:30
Group 2
Recordings 12:00 – 16:00
Practical 16:30 – 19:30
Group 1 and 2
Live Q and A – 20:00 – 23:00 (with Prof. Pierre Legendre)
Email oliverhooker@prstatistics.com with any questions
Advances in Spatial Analysis of Multivariate Ecological Data: Theory and Practice
https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp04/
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25th - 29th April 2022
£400 per person
Course Overview:
The course will describe recent methods (concepts and R tools) that can be used to analyse spatial patterns in community ecology. The umbrella concept of the course is beta diversity, which is the spatial variation of communities. These methods are applicable to all types of communities (bacteria, plants, animals) sampled along transects, regular grids or irregularly distributed sites. The new methods, collectively referred to as spatial eigen-function analysis, are grounded into techniques commonly used by community ecologists, which will be described first: simple ordination (PCA, CA, PCoA), multivariate regression and canonical analysis, permutation tests. The choice of dissimilarities that are appropriate for community composition data will also be discussed. The focal question is to determine how much of the community variation (beta diversity) is due to environmental sorting and to community-based processes, including neutral processes. Recently developed methods to partition beta diversity in different ways will be presented. Extensions will be made to temporal and space-time data.
This course will be a combination of pre-recorded lectures delivered by Prof. Pierre Legendre, Practical sessions with live support via email or video link and final live summary with Q and A at the end of each day Prof Pierre Legendre.
There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.
The recordings will be aired via zoom. Recordings last for approx. 4 hours. Followed by a 3-hour practical. And then an approx. 3 hour Q and A session with Pierre Legendre.
Recordings will be aired to accommodate different time zones listed below in GMT.
Group 1
Recordings 08:00 – 12:00
Practical 12:30 – 15:30
Group 2
Recordings 12:00 – 16:00
Practical 16:30 – 19:30
Group 1 and 2
Live Q and A – 20:00 – 23:00 (with Prof. Pierre Legendre)
Email oliverhooker@prstatistics.com with any questions