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
 [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 |
| Materials: |
NEWS |
| CRAN checks: |
glossa results |
Documentation:
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