*Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs) – Live Online Course*
https://prstats.org/course/species-distribution-modelling-sdms-and-ecological-niche-modelling-enms-sdmr07/ This intensive five-day online course provides a practical introduction to species distribution modelling and ecological niche modelling using R. Designed for ecologists, conservation scientists, and spatial analysts, the course focuses on building, evaluating, and interpreting models that predict species distributions and environmental suitability. Participants will learn the theoretical foundations of SDMs and ENMs alongside hands-on workflows for preparing species occurrence data, selecting environmental predictors, fitting models, and assessing model performance. The course covers widely used tools such as Maxent and Biomod2, giving attendees practical experience with modern methods for mapping habitat suitability and predicting species responses to environmental change. Through guided exercises and real-world examples, attendees will develop reproducible modelling workflows that can be applied to biodiversity research, conservation planning, and ecological forecasting. The course combines structured teaching with computer practicals, ensuring that participants gain both conceptual understanding and practical skills. All sessions are delivered live online and recorded for later review, with dedicated time for questions and discussion. *Course details* Dates: 11–15 May 2026 Format: Live online sessions with recordings available Fee: £480 This course is suitable for postgraduate researchers, conservation practitioners, and data analysts with basic familiarity with R or ecological data analysis who want to develop robust skills in species distribution and niche modelling. Register here: https://prstats.org/course/species-distribution-modelling-sdms-and-ecological-niche-modelling-enms-sdmr07/ -- 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
