SDMtune (version 0.1.0)

plotROC: Plot ROC curve

Description

Plot the ROC curve of the given model and print the AUC value.

Usage

plotROC(model, val = NULL, test = NULL)

Arguments

model

SDMmodel object.

val

SWD object. The validation dataset, default is NULL.

test

SWD object. The testing dataset, default is NULL.

Value

The plot object.

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")

# Split presence locations in training (80%) and testing (20%) datasets
datasets <- trainValTest(presence, test = 0.2)
train <- datasets[[1]]
test <- datasets[[2]]

# Train a model
model <- train(method = "Maxnet", p = train, a = bg, fc = "l")

# Plot the training ROC curve
plotROC(model)

# Plot the training and testing  ROC curves
plotROC(model, test = test)
# }
# NOT RUN {
# }