PseudoPredict R package to see which of your SDM predictors perform worse than random.
Create a pseudo predictor layer based on a classical painting to assess the significance of your climatic and topographical predictors in species distribution models using the PseudoLayer function.
This function was inspired by https://onlinelibrary.wiley.com/doi/full/10.1111/geb.12684
A nastyverse package
you can install by running: install.packages("devtools") library(devtools) install_github("HeatherWelch/PseudoPredictR") ?PseudoPredictR::PseudoLayer
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