How to cite GLOSSA
Thank you for using GLOSSA! Tu cite our app, please use the following references.
GLOSSA GitHub repository
The GLOSSA paper is currently in progress. Meanwhile, you can reference the GitHub repository as follows:
Mestre-Tomás, J., Fuster-Alonso, A., Bellido, J. M., & Coll, M. (2024). GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution. R package version 1.0.0, https://github.com/iMARES-group/glossa
BART model reference
If you use the BART model in your work, please also cite the original paper:
Chipman, H. A., George, E. I., & McCulloch, R. E. (2010). BART: Bayesian Additive Regression Trees. The Annals of Applied Statistics, 4(1), 266–298. doi: https://doi.org/10.1214/09-AOAS285
and if use BART on a global-scale, please include this citation:
Fuster-Alonso, A., Mestre-Tomás, J., Baez, J. C., Pennino, M. G., Barber, X., Bellido, J. M., … & Coll, M. (2024). Machine learning applied to global scale species distribution models (SDMs). PREPRINT (Version 1) available at Research Square. doi: https://doi.org/10.21203/rs.3.rs-4411399/v1.