User-Friendly 'shiny' App for Bayesian Species Distribution
Models
Description
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)
) 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
; this functionality is used
conditionally when available and all core features work without it.