Or you can try chooseGCM package 😅

github.com/luizesser/ch...

Usually this is avoided because of the high chance of perpetual recursion.

Me and my fellows have realized some years ago the potential of caret. Since then we could put together the caretSDM package which crosses caret and stars packages to build species distribution models. github.com/luizesser/ca...

✅ Practical applications for conservation, restoration, and predicting climate impacts on ecosystems.

#Ecology #Biodiversity #ClimateChange #OpenScience

✅ We explore how functional traits (not just species identity) can better capture community dynamics, especially under climate change.
✅ Highlighted the role of metacommunity theory and the need for hybrid approaches combining correlative and mechanistic models.

🔍 Key Takeaways:

✅ Community Distribution Models (CDMs) extend traditional species-level models to predict biodiversity patterns by integrating dispersal constraints, environmental filters, and biotic drivers.

📖 Learn more & contribute:

GitHub: github.com/luizesser/ca...

A huge thanks to everyone who supported this project! 🙏 I’d love your feedback—give it a try and let me know what you think!

#RStats #Ecology #SDM #DataScience #Biodiversity #CRAN

🔹 Key Features:
✔ Unified framework for SDM using caret
✔ Supports multiple algorithms (100+ algorithms)
✔ Automated model tuning & validation

📦 Install it now:

R> install.packages("caretSDM")

🔹 What does it do?
caretSDM integrates advanced geoprocessing tools with the caret ecosystem to streamline SDM workflows, making it easier to train, evaluate, and compare models for ecological and biodiversity research.

We are currently preparing a paper for submission, but some articles to help users are already available on the package website: luizesser.github.io/caretSDM/

🔗 Link to the article: onlinelibrary.wiley.com/doi/10.1111/...

✅ A detailed tutorial on how to use the package.
If you're working with climate change projections and want a more efficient and reliable way to select GCMs, chooseGCM is for you! 🔥

🔗 Tutorial Video: www.youtube.com/watch?v=jmGL...

📽️ To make it easy to understand and apply, we’ve prepared two videos:
✅ A short 3-minute overview explaining the method.
🔗 Short Video: www.youtube.com/watch?v=tADR...

🔬 Our recent publication presents a methodological framework that significantly reduces computational time by over 79% while maintaining a high correlation (>0.9) with full-scale simulations. This is a game-changer for species distribution modeling (SDM) and ecological niche modeling (ENM)!