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Multivariate Analysis of Ecological Communities Using VEGAN

Oliver Hooker 
*Unlock the Power of Community Ecology Data:Multivariate Analysis of
Ecological Communities Using VEGAN*

https://prstats.org/course/multivariate-analysis-of-ecological-communities-using-vegan-vgnr08/

Are you working with species-rich community datasets and seeking the tools
to meaningfully analyse, visualise and interpret them? This five-day live
online course offers a comprehensive, applied introduction to multivariate
techniques in community ecology, using the widely-adopted R package vegan.

*What the course covers*

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   Handling community ecology data: preparing matrices, transforming
   variables, computing distance measures.
   -

   Diversity indices, species-abundance distributions and community metrics.
   -

   Clustering, classification, ordination (unconstrained and constrained),
   including PCA, NMDS, RDA, CCA.
   -

   Integrating continuous and categorical predictors to detect ecological
   patterns along environmental or anthropogenic gradients.
   -

   Reproducible workflows and best practices in R ? coding, visualisation
   and interpretation of results.

*Why this matters*
Ecological community data are often high-dimensional, sparse, and
structured by environmental gradients or unmeasured factors. The tools you
will learn in this course enable you to:

   -

   Detect underlying structure and patterns in species composition.
   -

   Quantify relationships between communities and their environment.
   -

   Present your findings with clarity and rigour.
   -

   Build workflows that are reproducible, transparent and suited to
   publication or policy-driven outputs.

*Who should attend*
This course is ideal for ecology researchers, conservation scientists,
MSc/PhD students, data analysts and environmental practitioners who already
have a basic structure in R and want to deepen their analytical toolkit.
You should already be comfortable with data import/export, basic
manipulation, and fundamental statistical concepts.

*Format & practicalities*

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   Duration: Five full days of live online instruction (~7 hours per day).
   -

   Participants are encouraged to bring their own datasets; the instructors
   will help you refine your research questions, select suitable analyses and
   interpret results.
   -

   All sessions will be recorded and made available for later review ?
   making this suitable for learners across time zones.
   -

   Fee: ?485 (as listed).

*Take the next step in your analytical journey*
If you are ready to elevate your community ecology analyses ? to move
beyond univariate summaries and simple graphs into multivariate inference
and visualisation ? this course offers the structured guidance and
practical experience you need.