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I have zero-inflated data which lead me to your package for BRT analysis. However, there is also spatial autocorrelation in my data. I currently use the fold.vector parameter in gbm.step (dismo) to perform spatial cross-validation with blocks created by BlockCV (Valavi et a., 2018). It seems that it's not available in gbm.auto, is it something which could be implemented?
Thanks for your help !
The text was updated successfully, but these errors were encountered:
Howdy, sorry for the slow reply, been a crazy few weeks.
This is the first I've heard about fold.vector. I've forked (kinda) gbm.step within gbm.auto, and gbm.auto includes a ... parameter which allows any parameter to be passed to it.
So: it might just work already! Give it a try & LMK how you get on.
How do you actually use this? Like much of dismo, there's no documentation on this. BlockCV link.
Hi,
I have zero-inflated data which lead me to your package for BRT analysis. However, there is also spatial autocorrelation in my data. I currently use the
fold.vector
parameter ingbm.step
(dismo) to perform spatial cross-validation with blocks created by BlockCV (Valavi et a., 2018). It seems that it's not available in gbm.auto, is it something which could be implemented?Thanks for your help !
The text was updated successfully, but these errors were encountered: