*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* - 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* - 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. -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
