Network Analysis for Ecologists (NWAE01) — PR Stats Apply R-based network analysis tools to unravel ecological relationships—from species interactions to structural network insights.
*Dive into metric calculations, network simulation, and visualization using igraph in R across a focused two-day live course.* Ideal for ecologists eager to explore community structure through network science. ------------------------------ Course Details & Format - *Next Session:* November 4–5, 2025 (Tuesday–Wednesday) - *Duration:* 2 days × ~3 hours/day = ~6 hours total - *Schedule:* Live online sessions aligned to UK time (GMT/BST); recordings available for flexible, global access - *Format:* Interactive remote classroom encompassing lectures, demonstrations, and hands-on R exercises ------------------------------ Who It’s For Ecologists, researchers, and analysts with basic R and fundamental statistics skills ready to translate ecological data into network insights. ------------------------------ What You’ll Learn - Construct and visualize ecological networks using R’s *igraph* package - Calculate key network metrics, including degree, centrality, clustering, and path-related measures - Simulate ecological networks and analyze their structural properties - Apply network science principles to ecological questions—like community stability, flow of energy, or interaction patterns - Communicate network-based ecological findings through clear visualizations ------------------------------ *Fees & Registration* - *Early bird (first 10 places): £225* - *Standard fee: £250* Participants should be comfortable installing R and running packages like *igraph*, and have a baseline understanding of R syntax and basic statistical concepts. ------------------------------ Why Choose NWAE01? - *Concise & focused:* A streamlined two-day deep dive into ecological network analysis - *Applied approach:* Practical examples—from ecological interaction webs to simulated networks - *Expert guidance:* Live instruction, with coding walkthroughs and Q&A - *Flexible learning:* Full recordings provided for on-demand review - *Immediate takeaways:* Build your own R scripts and visualizations by course end ------------------------------ Master the art of ecological network analysis—calculate meaningful metrics, visualize relationships, and interpret the web of life in your data with confidence. For questions or more info, email *[email protected]* -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/[email protected]/
