Multivariate analysis of ecological communities in R with the VEGAN package (VGNR01)
This course will run from the 23rd- 27th April 2018 in Glasgow City Centre and is being delivered by Dr Peter Solymos and Dr Guillaume Blanchet who both author the VEGAN package
Course Overview:
This 5-day course will cover the concepts, methods, and R tools that can be used to analyse community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity and null-model analysis, distance measures and distance based multivariate methods, clustering, classification, and dimension reduction techniques using the vegan R extension package. We will use real world data sets to motivate the analyses, e.g. describing patterns along environmental or anthropogenic disturbance gradients, quantifying the effects of continuous and discrete predictors, and making predictions based on multivariate model results. We will emphasize visualization and reproducible workflows. Modules will consist of introductory lectures, guided computer coding, and exercises for the participants. The course is intended for intermediate R users with interest in community ecology, especially in the fields of terrestrial and wetland ecology, microbial ecology, and natural resource management.
Monday 23rd - Classes from 09:00 to 17:00
Module 1: Introduction to community data analysis, basics of programming in R Module 2: Data processing (long and wide data representations, single and multiple table operations, data aggregation and transformation)
Tuesday 24th - Classes from 09:00 to 17:00
Module 3: Diversity analysis, species-abundance distributions, null-model analysis Module 4: Distance measures and distance based methods (Mantel test, distance decay, etc.)
Wednesday 25th - Classes from 09:00 to 17:00
Module 5: Hierarchical and nonhierarchical clustering and classification Module 6: Dispersion and permutational MANOVA
Thursday 26th - Classes from 09:00 to 17:00
Module 7: Response curves, ordination (correspondence analysis, nonmetric scaling, constrained ordination). Module 8: Fitting environmental variables to ordination, permutation based testing of the significance of constraints.
Friday 27th - Classes from 09:00 to 16:30
Module 9: Indicator species analysis and multivariate calibration. Modules 10: special topics and discussion, analyzing participants' own data.
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- www.PRstatistics.com (Ecology and life sciences)
- www.PRinformatics.com (Bioinformatics and data science)
- www.PSstatistics.com (Behaviour and cognition)
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Email enquiries to oliverhooker@prstatistics.com
Other up coming courses below
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--
Oliver Hooker PhD.
PR statistics
2017 publications -
Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press.
The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology.
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