Published July 18, 2023 | Version v4
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Influence of model complexity, training collinearity, collinearity shift, predictor novelty, and their interactions on ecological forecasting

  • 1. Florida State University

Description

This is a repository for revised manuscript submitted to Global Ecology and Biogeography.

Update: The manuscript was accepted by Global Ecology and Biography and published online on 29 November 2023.

Preprint: The 1st version submitted to Proceedings of the National Academy of Sciences (PNAS) can be found at: https://doi.org/10.32942/X2MS38

DOI: https://doi.org/10.1111/geb.13793

Citation: Chen, X., Liang, Y., & Feng, X. (2023). Influence of model complexity, training collinearity, collinearity shift, predictor novelty and their interactions on ecological forecasting. Global Ecology and Biogeography, 33, 371-384.

GitHub repository: https://github.com/xinxxxin/Influence-of-collinearity-and-novelty-on-ecological-forecasting/tree/main

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