How to cite GLOSSA

Thank you for using GLOSSA. Proper citation helps to further develop the tool and highlight its impact on the research community.

Main citation for GLOSSA

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

Mestre-Tomás J., Fuster-Alonso, A., Bellido, J. M., & Coll, M. (2024). glossa: User-Friendly ‘shiny’ App for Bayesian Species Distribution Models. R package version 1.0.0, https://cran.r-project.org/package=glossa

Corresponding BibTeX entry:

@Manual{,
  title = {glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models},
  author = {Jorge Mestre-Tomás and Alba Fuster-Alonso and José M. Bellido and Marta Coll},
  year = {2024},
  note = {R package version 1.0.0},
  url = {https://cran.r-project.org/package=glossa},
}

Additional citations

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 include the following 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.