*Take your species distribution modelling to the next level* *Advanced Species Distribution Modelling (SDMs) & Ecological Niche Modelling (ENMs) using R*
*ONLY 4 PLACES LEFT!* https://prstats.org/course/advanced-species-distribution-modelling-using-r-asdm01/ Join our intensive five-day live online workshop: *Advanced Species Distribution Modelling (SDMs) & Ecological Niche Modelling (ENMs) using R*. If you already have experience with species distribution modelling and want to deepen your skills in cutting-edge methods, this is the course for you. *What you will learn* - How to tune and optimise models such as Maxent for robust species distribution predictions. - How to apply MESS (Multivariate Environmental Similarity Surface) analysis and null-model approaches to critically evaluate your models and predictions. - How to build mechanistic models and simulate virtual species to gain deeper insights into species–environment relationships. - Practical, hands-on use of R code and workflows so you walk away ready to apply these methods in your own research or work. *Who should attend* - Researchers, ecologists, and practitioners who already have a working knowledge of species distribution modelling and R. - Those who want to go beyond basic workflows and explore advanced methods for modelling, evaluation and prediction. - Anyone working in conservation science, biogeography, ecology, environmental consultancy or related fields who needs to derive reliable spatial predictions of species distributions. *Format & logistics* - Fully live online format — participate from anywhere. - Five full days of training (intensive schedule). - Sessions are interactive — expect hands-on exercises, code walkthroughs and opportunities to ask questions. - Delivered by PR Stats’ experienced instructors, in a UK / Western European time-zone format. *Why this course stands out* - It bridges the gap between standard SDM workflows and more advanced, rigorous modelling and evaluation techniques. - The use of virtual species and mechanistic modelling equips you to tackle complex ecological questions, not just correlative predictions. - You’ll leave with practical code and workflows you can adapt immediately in your work. *How to register / next steps* Visit the PR Stats website for full course details, upcoming dates and registration information. Early registration is recommended as places are limited. If you have any questions about suitability, schedule or prerequisites, contact the course organisers directly. https://prstats.org/course/advanced-species-distribution-modelling-using-r-asdm01/ Email [email protected] with any questions -- 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
