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.

Version: 1.0.0
Depends: bs4Dash, R (≥ 4.0.0), shiny
Imports: dbarts, dplyr, DT, GeoThinneR, ggplot2, htmltools, jsonlite, leaflet, markdown, mcp, pROC, sf, shinyWidgets, sparkline, svglite, terra, tidyterra, waiter, zip
Suggests: knitr, matrixStats, rmarkdown, testthat (≥ 3.0.0), tidyr, tidyverse
Published: 2024-10-15
DOI: 10.32614/CRAN.package.glossa
Author: Jorge Mestre-Tomás ORCID iD [aut, cre], Alba Fuster-Alonso ORCID iD [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
Materials: NEWS
CRAN checks: glossa results

Documentation:

Reference manual: glossa.pdf

Downloads:

Package source: glossa_1.0.0.tar.gz
Windows binaries: r-devel: glossa_1.0.0.zip, r-release: glossa_1.0.0.zip, r-oldrel: glossa_1.0.0.zip
macOS binaries: r-release (arm64): glossa_1.0.0.tgz, r-oldrel (arm64): glossa_1.0.0.tgz, r-release (x86_64): glossa_1.0.0.tgz, r-oldrel (x86_64): glossa_1.0.0.tgz

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