Want to master Species Distribution Models (SDMs) and Ecological Niche Models (ENMs)?
PR Stats has you covered. Species Distribution Modelling and Ecological Niche Modelling are now central tools in ecology, conservation biology, biogeography, and environmental decision-making. From predicting species ranges under climate change to informing conservation planning and invasion biology, robust modelling is essential. PR Stats offers a comprehensive learning pathway designed to take you from foundational principles to advanced statistical approaches. Standard Modelling Procedure for Species Distribution and Ecological Niche Modelling This course lays the groundwork for sound modelling practice. You’ll learn the complete SDM/ENM workflow, including data preparation, variable selection, model calibration, validation, and interpretation. Emphasis is placed on avoiding common pitfalls and following reproducible, defensible modelling standards that align with current best practices. https://prstats.org/course/standard-modelling-procedure-for-species-distribution-and-ecological-niche-modelling-sdms01/ Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs) Building on the foundations, this course explores a wider range of modelling techniques and applications. You’ll gain hands-on experience with different algorithms, understand how to interpret outputs critically, and learn how to match modelling choices to ecological questions. Real-world examples illustrate how SDMs and ENMs are used in contemporary research and applied ecology. https://prstats.org/course/species-distribution-modelling-sdms-and-ecological-niche-modelling-enms-sdmr07/ Species Distribution Modelling with Bayesian Statistics For those ready to go further, this advanced course introduces Bayesian approaches to species distribution modelling. Learn how to explicitly model uncertainty, incorporate prior knowledge, and produce more transparent and statistically rigorous inferences. Bayesian SDMs are especially powerful when working with sparse data, complex ecological processes, or when decision-making requires clear uncertainty estimates. https://prstats.org/course/species-distribution-modelling-with-bayesian-statistics-sdmb08/ Together, these three courses form a structured learning journey—from core concepts and workflows to advanced statistical modelling—designed for students, researchers, conservation practitioners, and environmental professionals. Whether you are new to SDMs or looking to strengthen and modernize your modelling toolkit, PR Stats provides practical, research-informed training you can apply immediately to your own ecological data. Discounts for booking 2 or more courses. Learn better. Model smarter. Make stronger ecological inferences with PR Stats. 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
