trail.spLearner blocking factor

[oliviafraserusda]

Yes, example is at: https://opengeohub.github.io/spatial-prediction-eml/spatial-interpolation-using-ensemble-ml.html#spatial-prediction-of-soil-types-factor-variable
It works the same way - you just have to prepare the spatial grid for spatial blocking or use the landmap::train.spLearner function.

Originally posted by @thengl in #1 (comment)

How do I add spatial block IDs (blocking = as.factor(rmPF$gid))) to the train.spLearner function for classification (tsk <- mlr::makeClassifTask)?

[oliviafraserusda]

Do you have a more specific example of what that looks like? I have not had success with modifying this example.

How do I add spatial blocking to the landmap::train.spLearner function for classification since blocking is not an argument available? Do I use "id" or blocking? id = as.factor(rmPF$gid)?

X <- eberg_grid[c("PRMGEO6","DEMSRT6","TWISRT6","TIRAST6")]
if(!exists("mF")){
mF <- train.spLearner(eberg["TAXGRSC"], covariates=X, parallel=FALSE, blocking = as.factor(rmPF$gid))
}