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glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models
A user-friendly 'shiny' application for Bayesian machine learning analysis of marine species distributions. GLOSSA (Global Species Spatiotemporal Analysis) uses Bayesian Additive Regression Trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) to model species distributions with intuitive workflows for data upload, processing, model fitting, and result visualization. It supports presence-absence and presence-only data (with pseudo-absence generation), spatial thinning, cross-validation, and scenario-based projections. GLOSSA is designed to facilitate ecological research by providing easy-to-use tools for analyzing and visualizing marine species distributions across different spatial and temporal scales.
Getting started
Browse package contents
Package details |
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| Author | Jorge Mestre-Tomás [aut, cre] (ORCID: <https://orcid.org/0000-0002-8983-3417>), Alba Fuster-Alonso [aut] (ORCID: <https://orcid.org/0000-0002-7283-291X>) |
| Maintainer | Jorge Mestre-Tomás <jorge.mestre.tomas@csic.es> |
| License | GPL-3 |
| Version | 1.1.0 |
| URL | https://github.com/iMARES-group/glossa https://iMARES-group.github.io/glossa/ |
| Package repository | View on CRAN |
| Installation |
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