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The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

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Dear Roozbeh, I tried to run cv_spatial(x), where nrow(x) == 37000000, and it does not finish within a day, even if iteration == 1 or selection == "systematic". I wanted...

Hello @rvalavi and thank you for this very useful package. I am currently running some SDMs on many species, with very different types of distributions (rare, common, clustered, sparse...) and...

enhancement

Hi Roozbeh - Any update on being able to use block CV spatial blocking outputs with the caret traincontrol function? Cheers

I have sucessfully updated and run the blockcv with biomod 2 vignette. However when I try to adapt the code for my custom data I run into a seemingly unclear...

Using one of the examples from the function help file, and an example raster layer: ``` points