# 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]
# Prepare background locations
bg_coords <- dismo::randomPoints(predictors, 5000)
# Create SWD object
presence <- prepareSWD(species = "Vultur gryphus", coords = p_coords,
env = predictors, categorical = "biome")
bg <- prepareSWD(species = "Vultur gryphus", coords = bg_coords,
env = predictors, categorical = "biome")
# Train a Maxent model
model <- train(method = "Maxent", p = presence, a = bg, fc = "l")
dismo_model <- SDMmodel2MaxEnt(model)
dismo::evaluate(p = presence@data, a = bg@data, model = dismo_model)
# }
# NOT RUN {
# }
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