GLOSSA: A user‐friendly R Shiny application for Bayesian machine learning analysis of marine species distribution

Abstract Species distribution models (SDMs) are one of the most common statistical methods to assess species occupancy and geographic distribution patterns. With the increasing complexity and availability of ecological data in the marine context, many methodological approaches have been developed to...

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Hlavní autoři:	Jorge Mestre‐Tomás, Alba Fuster‐Alonso, José M. Bellido, Marta Coll
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2026-02-01
Edice:	Methods in Ecology and Evolution
Témata:	Bayesian Additive Regression Trees biogeography habitat suitability model probability of occurrence R Shiny software
On-line přístup:	https://doi.org/10.1111/2041-210x.70167
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