How to cite GLOSSA

Thank you for using GLOSSA! The GLOSSA paper is currently in progress. Meanwhile, to cite the software in publications, you can use the preprint:

Main citation for GLOSSA

To cite GLOSSA in publications, please use the following reference:

Mestre-Tomás, J., Fuster-Alonso, A., Bellido, J. M., and Coll, M. (2025). GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution. arXiv preprint arXiv:2505.05862. DOI: https://doi.org/10.48550/arXiv.2505.05862

Additional citations

GLOSSA is built on the work of many researchers and developers. To acknowledge their work, we provide citation guidelines for key contributions and inspirational works.

Bayesian Additive Regression Trees (BART)

If you use the BART model in your analyses, please include this reference:

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

Global-scale BART modeling

For global-scale analyses using BART, please check the following paper:

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.