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FREE SEMINAR - Advances in Spatial Analysis of Multivariate Ecological Data - Prof. Pierre Legendre (Author of Numerical Ecology)

Oliver Hooker 
NEW free seminar confirmed for Wednesday 23rd March.

Please feel free to share!

Advances in Spatial Analysis of Multivariate Ecological Data: Theory and
Practice
Speaker - Prof. Pierre Legendre (Author of Numerical Ecology)
March 23rd @ 18:00-18:30 GMT

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05s/

Each course seminar is based on the course, they are ~30 minutes long
including a Q and A session, and will be delivered by the course instructor.

Anyone is welcome, even if you have no intention of joining the paid course
later on!

This is a great way to get a FREE insight multivariate analysis of special
data, to ask the instructor some questions, and to get a better idea of
suitability if any of the courses interest you.

The course will be delivered using R.

All of our Free Course Seminars (https://www.prstatistics.com/free-seminars/)
will be archived and made available, if you cannot join live you can
request access to the recordings.

Please feel free to share in your department, institution or organisation.

Thanks,

Oliver

Free seminar

This is a free ~30 minute seminar including a Q and A session at the end
for our up-coming course ?Advances In Spatial Analysis Of Multivariate
Ecological Data: Theory And Practice?.

Time

18:00 GMT

Speaker

Course Instructor Prof. Pierre Legendre

About this course

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.

Course link below

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05/

Email oliverhooker at prstatistics.com with any questions or enquires.