th.indep: Spatial threshold-independent accuracy measures

In spind: Spatial Methods and Indices

Description

Calculates spatially corrected, threshold-independent metrics for an observational data set and model predictions (AUC, ROC, max-TSS)

Usage

th.indep(data, coord, spatial = TRUE, plot.ROC = FALSE, customize_plot = NULL)

Arguments

data	A data frame or matrix with two columns. The first column should contain actual presence/absence data (binary, 0 or 1) and the second column should contain model predictions of probability of occurrence (numeric, between 0 and 1).
coord	A data frame or matrix with two columns containing x,y coordinates for each actual and predicted value. Coordinates must be integer and consecutively numbered.
spatial	A logical value indicating whether spatial corrected indices (rather than classical indices) should be computed.
plot.ROC	A logical indicating whether the ROC should be plotted. NOW DEPRECATED.
customize_plot	Additional plotting parameters passed to ggplot. NOW DEPRECATED.

Value

A list with the following components:

AUC

Area under curve

opt.thresh

optimal threshold for maximum TSS value

TSS

Maximum TSS value

sensitivity

Sensitivity

Specificity

Specificity

AUC.plot

A ggplot object

Author(s)

Gudrun Carl

References

Carl G, Kuehn I (2017) Spind: a package for computing spatially corrected accuracy measures. Ecography 40: 675-682. DOI: 10.1111/ecog.02593

See Also

th.dep

Examples

data(hook)
data <- hook[ ,1:2]
coord <- hook[ ,3:4]
si2 <- th.indep(data, coord, spatial = TRUE)
si2$AUC
si2$TSS
si2$opt.thresh
si2$plot

spind documentation built on Jan. 13, 2021, 6:04 p.m.