Network Analysis for Ecologists (NWAE01) — PR Stats
From dolphin social networks to predator–prey interactions, network analysis offers powerful tools to understand marine mammal ecology.
In this two-day live online course, you’ll learn to *build, analyse, and visualise networks in R* using real-world ecological examples—perfect for uncovering patterns in social structure, movement connectivity, or ecosystem roles. ------------------------------ Course Details & Format - *Next Session:* November 4–5, 2025 (Tuesday–Wednesday) - *Duration:* 2 days × ~3 hours/day = ~6 hours total - *Schedule:* Live online sessions in UK time (GMT/BST); recordings provided for flexible review across time zones - *Format:* Interactive remote classroom with lectures, live coding in R, and Q&A ------------------------------ Who It’s For Marine mammal scientists, behavioural ecologists, and conservation practitioners who: - Track *social interactions* among individuals (e.g., bottlenose dolphins, orcas, seals) - Study *movement and connectivity* (e.g., migration corridors, site fidelity networks) - Analyse *feeding relationships* and trophic structure in marine ecosystems - Want to add quantitative network tools to their research toolkit Basic R skills and familiarity with ecological data are recommended. ------------------------------ What You’ll Learn - Build networks from marine mammal sighting, tag, or association data - Calculate metrics like degree, centrality, modularity, and clustering to quantify social or ecological roles - Model and simulate interaction networks to explore stability and resilience - Integrate spatial and temporal elements into network analyses - Produce publication-quality network visualisations for reports, papers, and presentations ------------------------------ Fees & Registration - *Early bird (first 10 places): £225* - *Standard fee: £250* ------------------------------ Why Choose NWAE01? - *Relevant & adaptable:* Concepts directly applicable to marine mammal social, ecological, and conservation studies - *Hands-on:* Apply methods to datasets you care about—bring your own data or use provided examples - *Expert-led:* Learn from experienced instructors combining ecological knowledge and statistical expertise - *Flexible:* Attend live or learn at your own pace with full recordings - *Actionable skills:* Leave with R scripts and workflows ready to apply in your next analysis ------------------------------ *Uncover the hidden structure of marine mammal communities—strengthen your research with the power of network analysis.* Questions? Email *oliver@prstats.org* -- Oliver Hooker PhD. PR stats