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

Package details

AuthorJorge Mestre-Tomás [aut, cre] (<https://orcid.org/0000-0002-8983-3417>), Alba Fuster-Alonso [aut] (<https://orcid.org/0000-0002-7283-291X>)
MaintainerJorge Mestre-Tomás <jorge.mestre.tomas@csic.es>
LicenseGPL-3
Version1.0.0
URL https://github.com/iMARES-group/glossa https://iMARES-group.github.io/glossa/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glossa")

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glossa documentation built on Oct. 15, 2024, 5:08 p.m.