Spatial confounding in joint species distribution models

Spatial confounding in joint species distribution models

Abstract Joint species distribution models (JSDMs) are a popular method for analysing multivariate abundance data, with important applications such as uncovering how species communities are driven by environmental processes, model‐based ordination to visualise community composition patterns across s...

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Bibliographic Details
Main Authors: Francis K. C. Hui, Quan Vu, Mevin B. Hooten
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Methods in Ecology and Evolution
Subjects:
collinearity
community ecology
covariate effects
latent variables models
ordination
spatio‐temporal modelling
Online Access:https://doi.org/10.1111/2041-210X.14420

Internet

https://doi.org/10.1111/2041-210X.14420

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