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A new joint species distribution model for faster and more accurate inference of species associations from big community data

URN to cite this document:
urn:nbn:de:bvb:355-epub-478374
DOI to cite this document:
10.5283/epub.47837
Pichler, Maximilian ; Hartig, Florian
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 13 Aug 2021 10:18

This publication is part of the DEAL contract with Wiley.


Abstract

Joint species distribution models (JSDMs) explain spatial variation in community composition by contributions of the environment, biotic associations and possibly spatially structured residual covariance. They show great promise as a general analytical framework for community ecology and macroecology, but current JSDMs, even when approximated by latent variables, scale poorly on large datasets, ...

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