online course on Species Distribution Modeling with Bayesian Additive Regression Tree (BART) Method

[Carlo Pecoraro]

Dear colleagues,

We are pleased to announce the Physalia online course on Species Distribution Modeling with Bayesian Additive Regression Tree (BART) Methods, taking place 22–24 September: https://www.physalia-courses.org/courses-workshops/barts/ 

This course will introduce and demonstrate the use of BARTs for species distribution modeling and other ecological applications. Participants will learn how BART improves upon traditional SDM methods and gain hands-on experience in R using the embarcadero and dbarts packages to select predictors, train and evaluate models, and predict species presence or absence.

Who should attend: Advanced students, researchers, and practitioners familiar with species distribution modeling and comfortable working in R.

Learning outcomes:

• Understand BART model structure and its advantages for SDMs

• Train and evaluate BART models using R

• Visualize and interpret predictor effects and interactions

• Project species distributions into new regions or time periods

Format:

• 15:00–18:00 Berlin time: live lectures and practicals

• 4 additional hours: self-guided exercises with online support

• Pre-course: self-guided introduction and package installation

Topics covered include:

• SDM overview and Bayesian statistics

• BART theory and workflow

• Predictor selection, model evaluation, and troubleshooting

• Partial effects and spatial modeling

This course offers a unique opportunity to deepen your SDM expertise with advanced machine learning methods in a practical, interactive setting.

Spaces are limited — secure your spot today!

Best regards,

Carlo

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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

in...@physalia-courses.org

mobile: +49 17645230846

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