*Advanced Species Distribution Modelling Using R (ASDM01)* Elevate your ecological modelling skills with state-of-the-art species distribution techniques in R.
https://www.prstats.org/course/advanced-species-distribution-modelling-using-r-asdm01/ ------------------------------ Why this course? Species distribution modelling (SDM) is a cornerstone of modern ecology, yet many practitioners rely on outdated or overly simplistic approaches. This course equips researchers and professionals with advanced tools to build robust, predictive distribution models—accounting for complex ecological processes, bias in occurrence data, and spatiotemporal variation. ------------------------------ Duration: 5 Days, 8 hours per day Next Date: 1st - 5th December 2025 Format: Live Online Format Cost: First 10 places £430 Normal price £480 ------------------------------ Course Description This 5-day workshop offers an immersive dive into species distribution modelling using R. Participants will explore cutting-edge methods including ensemble models, presence-only techniques (e.g., Maxent), accounting for sampling bias, spatial autocorrelation, and dynamic modelling across time. Each session combines theory with hands-on R implementations, covering data pre-processing, model selection, evaluation, transferability, and interpretation. Participants are encouraged to bring their own datasets, alongside the instructor-provided examples. A solid grounding in basic SDMs and competent R skills are recommended. This course is ideal for ecologists, conservation scientists, environmental consultants, and postgraduate students seeking to enhance their modelling toolkit and produce more accurate, actionable distribution forecasts. ------------------------------ What You’ll Learn - How to choose appropriate SDM frameworks (presence–absence, presence-only, ensembles) - Techniques for handling sampling bias and spatial autocorrelation - Advanced evaluation metrics and model validation strategies - Integrating environmental predictors effectively for better inference - Strategies to improve SDM transferability across landscapes and time - Hands-on experience using R for dynamic and ensemble modelling ------------------------------ For further information or inquiries, please 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
