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
