SDMtune (version 0.1.0)

maxentVarImp: Maxent Variable Importance

Description

Shows the percent contribution and permutation importance of the environmental variables used to train the model.

Usage

maxentVarImp(model)

Arguments

model

'>SDMmodel object trained using the "Maxent" method.

Value

A data frame with the variable importance.

See Also

maxentTh

Examples

# 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")
maxentVarImp(model)
# }