Network Analysis for Ecologists – Practical Skills for Ecological Research
Learn how to apply network science to ecological data in this focused, on-demand course from PR Stats. Network Analysis for Ecologists is a 6-hour course designed to give ecologists the conceptual understanding and practical tools needed to analyse species interactions and complex ecological systems using R. https://prstats.org/course/network-analysis-for-ecologists-nwaepr/ This course is ideal for researchers, postgraduate students, and practitioners who want to work with food webs, pollination networks, host–parasite systems, and other ecological networks. What you will learn - How to construct and represent ecological networks from interaction data - Core network metrics and concepts, including degree, centrality, modularity, and nestedness - How to analyse and visualise networks in R using the igraph package - How to model ecological dynamics using ordinary differential equations (ODEs) Course format and benefits - Fully on-demand: start anytime and learn at your own pace - Six hours of recorded content with practical, hands-on examples - Real ecological datasets and reproducible workflows - Designed for ecologists with intermediate R experience - Thirty days of instructor email support - Lifetime access to course materials - Digital certificate of completion for professional development Requirements Participants need a laptop with R and RStudio installed. No paid software is required. Key details - Duration: 6 hours - Format: On-demand - Cost: £225 If you want to strengthen your ability to analyse ecological networks and apply these methods directly to your own research, this course provides a clear, practical introduction grounded in real ecological problems. Email [email protected] 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
