# NOT RUN {
# Acquire environmental variables
files <- list.files(path = file.path(system.file(package = "dismo"), "ex"),
pattern = "grd", full.names = TRUE)
predictors <- raster::stack(files)
# Prepare presence locations
p_coords <- condor[, 1:2]
# Create SWD object
presence <- prepareSWD(species = "Vultur gryphus", coords = p_coords,
env = predictors, categorical = "biome")
# Split presence locations in training (80%) and testing (20%) datasets
datasets <- trainValTest(presence, test = 0.2)
train <- datasets[[1]]
test <- datasets[[2]]
# Merge the training and the testing datasets together
merged <- mergeSWD(train, test)
# }
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