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
    Ocean Species Spatio-temporal 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. Optionally, pseudo-absences can
    be generated within the environmental space using the external package
    'flexsdm' (not on CRAN), which can be downloaded from
    <https://github.com/sjevelazco/flexsdm>; this functionality is used
    conditionally when available and all core features work without it.
| Version: | 1.2.4 | 
| Depends: | bs4Dash, R (≥ 4.1.0), shiny | 
| Imports: | automap, blockCV, dbarts, dplyr, DT, GeoThinneR, ggplot2, htmltools, leaflet, markdown, mcp, pROC, sf, shinyWidgets, sparkline, svglite, terra, tidyterra, waiter, zip | 
| Suggests: | flexsdm, jsonlite, knitr, matrixStats, rmarkdown, testthat (≥ 3.0.0), tidyr, tidyverse | 
| Published: | 2025-09-19 | 
| DOI: | 10.32614/CRAN.package.glossa | 
| Author: | Jorge Mestre-Tomás  [aut, cre],
  Alba Fuster-Alonso  [aut] | 
| Maintainer: | Jorge Mestre-Tomás  <jorge.mestre.tomas at csic.es> | 
| BugReports: | https://github.com/iMARES-group/glossa/issues | 
| License: | GPL-3 | 
| URL: | https://github.com/iMARES-group/glossa,
https://iMARES-group.github.io/glossa/ | 
| NeedsCompilation: | no | 
| Language: | en-US | 
| Citation: | glossa citation info | 
| Materials: | NEWS | 
| CRAN checks: | glossa results | 
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