enmpa (version 0.2.1)

proc_enm: Partial ROC calculation

Description

proc applies partial ROC tests to model predictions.

Usage

proc_enm(test_prediction, prediction, threshold = 5, sample_percentage = 50,
         iterations = 500)

Value

A list with the summary of the results and a data.frame containing the AUC values and AUC ratios calculated for all iterations.

Arguments

test_prediction

(numeric) vector of model predictions for testing data.

prediction

SpatRaster or numeric vector of model predictions to be evaluated.

threshold

(numeric) value from 0 to 100 to represent the percentage of potential error (E) that the data could have due to any source of uncertainty. Default = 5.

sample_percentage

(numeric) percentage of testing data to be used in each bootstrapped process for calculating the partial ROC. Default = 50.

iterations

(numeric) number of bootstrap iterations to be performed; default = 500.

Details

Partial ROC is calculated following Peterson et al. (2008) doi:10.1016/j.ecolmodel.2007.11.008.

Examples

# Loading a model prediction
pred <- terra::rast(system.file("extdata", "proj_out_wmean.tif",
                                package = "enmpa"))

# Simulated data
test <- runif(100, min = 0.3, max = 0.8)

# partial ROC calculation
pr <- proc_enm(test, pred, threshold = 5, sample_percentage = 50,
               iterations = 500)