Analysis of Avian Point-Count Data in the Presence of Detection Error (APCD01) trains researchers in using R to handle imperfect bird survey data. Topics include N-mixture models, time-removal, distan...

Introduction to Machine Learning (IMLR04) is a five-day live online course that teaches practical machine learning using R. Designed for applied researchers and data analysts, the course covers both s...

This intensive 5-day live online course provides a comprehensive introduction to applied spatial data analysis using R. Designed for ecologists, data scientists, environmental researchers, and public ...

Bayesian Multilevel Modelling using brms for Ecologists (BMME01) is a 10-day online course designed for ecologists looking to apply Bayesian methods to complex hierarchical models in R. Using the brms...

Spatial Data Visualisation using TMAP (TMAP02) is a five-day live online course that teaches participants how to visualise and communicate spatial data effectively using the tmap package in R. The cou...

Bioacoustic Data Analysis (BIAC05) equips researchers with the skills to analyse animal acoustic signals in R. Covering spectrograms, signal structure, annotation workflows, and acoustic diversity met...

Visualizing Spatial Ecological Data (VSED01) is a five-day online course focused on using R to create effective, accessible, and reproducible visualisations for ecological research. Participants will ...

Learn how to evaluate, compare, and simplify statistical models with our intensive live online course: Model Selection and Simplification in R. Over two days (8 hours total), participants will gain a ...

Spatial and Spatio-Temporal Modelling using R-INLA (SSTM02) provides an in-depth introduction to Bayesian modelling of spatial and spatio-temporal data using the INLA framework. Participants learn to ...

Visualizing Spatial Ecological Data (VSED01) is a five-day online course focused on using R to create effective, accessible, and reproducible visualisations for ecological research. Participants will ...

Building knowledge and open data for wildlife-friendly energy and transport infrastructure. It offers powerful tools to analyse, and visualize the impacts on terrestrial populations.

Species Distribution Modelling and Ecological Niche Modelling (SDMR06) offers a comprehensive exploration of ENM and SDM techniques using R. Participants learn to model species distributions using algorithms like Maxent, GLMs, and Biomod2. Ideal for researchers in biogeography and spatial ecology, the course blends theory with hands-on coding in R. Topics include model calibration, projection to climate scenarios, and ENM comparison using Ecospat.

Introduction to Generalised Linear Mixed Models for Ecologists (MMIE01) teaches the theory and application of LMMs and GLMMs using R. Participants model hierarchical ecological data with tools like lm...

Multivariate Analysis of Ecological Communities Using VEGAN (VGNR08) is a five-day intensive online course that teaches participants how to analyse ecological community data using the VEGAN package in...

Join our intensive 5-day field-based course in Scotland designed for ecologists and researchers. Learn practical species identification, habitat classification, and ecological survey techniques, while...

Master the fundamentals of Generalised Linear Models in R with this hands-on 10-day online course. Learn to model data using logistic regression, Poisson regression, and other GLMs with step-by-step g...

Bayesian Multilevel Modelling using brms for Ecologists (BMME01) is a 10-day online course designed for ecologists looking to apply Bayesian methods to complex hierarchical models in R. Using the brms...