Model-Based Multivariate Analysis of Abundance Data Using R

Instructor,  Prof David Warton

Surrey UK, January 16-20 2017 (from £492) through PR Statistics
Sydney Australia, November 22-26 2016 (AU$1000) through Stats Central at UNSW

Multivariate analysis in ecology has been changing rapidly in recent years, with a focus now on formulating a statistical model to capture key properties of the observed data, rather than transformation of data using a dissimilarity-based framework.  In recent years, model-based techniques have been developed for hypothesis testing, identifying indicator species, ordination, clustering, predictive modelling, and use of species traits as predictors to explain interspecific variation in environmental response.  These techniques are more interpretable than alternatives, have better statistical properties, and can be used to address new problems, such as the prediction of a species' spatial distribution from its traits alone.

This course will provide an introduction to modern multivariate techniques, with a special focus on the analysis of abundance or presence/absence data, starting from a revision of fundamental tools in regression analysis, and extending these techniques to the case where there are multiple response variables.  It is targeted at ecologists and applied statisticians who work extensively in ecology.

Registration for Sydney short course:

Registration for Surrey short course:

If you have any questions please email [log in to unmask]

Please feel free to distribute this email anywhere you see fit.

Oliver Hooker

To unsubscribe from this list please go to
or send the following command to [log in to unmask]
leave industrial-ecology