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/ We have 3 seats left for our upcoming VEGAN course, don't miss, book today! 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 Oliver Hooker (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)