Upcoming workshop: Using tidymodels in forest modeling workflows
- November 10, 2026, 1:00 p.m. to 3:00 p.m.
- Held at the 2026 Northeastern & Southern Mensurationists Joint Annual Meeting
- Portland, Maine
Join Matt Russell at an upcoming workshop to learn more about how tidymodels can be used in forestry. This workshop will provide an overview of the tidymodels package and will work through a case study that implements the core functions available in the package. The workshop is perfect for graduate students and forest modelers.
Background
Forest modelers are often faced with challenges in developing and implementing the models they create. This includes the need to work with very large datasets, train models to specific attributes like species or ecoregions, and assess different modeling approaches such as regression and machine learning techniques. The ability to generate code and assess their impact has never been easier in our profession, but forest modelers often require reproducible workflows that allow their modeling systems to be flexible as new data become available.
The tidymodels package in R is a series of packages for performing modeling and machine learning tasks. This workshop will provide an overview of the tidymodels packages and how it can be used in forest modeling workflows. A case study estimating tree biomass from trees collected across the US will be used throughout the workshop.
Attendees should bring a laptop with R installed (e.g., RStudio/Positron). The workshop is best suited for attendees with at least some experience with coding in R.
Intended audience: Graduate students, forest modelers
Learner outcomes:
Understand the core packages and functions within tidymodels and how they can be used for common forest modeling scenarios.
Be able to design workflows that allow for training and testing models to evaluate and validate their performance.
Understand how to work with model output in an efficient manner so that results can be easily interpreted and visualized.
You can learn more and register for the meeting here.
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