rocParea: Compute area under ROC curve for process areas
In jngtz/runout.opt: GPP regional runout model optimization and validation in R
Description
Usage
Arguments
Value
View source: R/source_area_threshold.R
Description
Compute area under ROC curve for process areas
Usage
1
rocParea(process_area, slide_area, smp_mask, smp_size = 1000, seed = 1234)
Arguments
process_area
RasterLayer of GPP process area
slide_area
Runout tracks as a RasterLayer
smp_mask
A mask of sample areas as a RasterLayer
smp_size
Size of random sample of runount and non-runout cells
seed
Specific specific random seed
Value
AUROC
jngtz/runout.opt documentation built on Sept. 8, 2021, 2:15 p.m.
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Description Usage Arguments Value
View source: R/source_area_threshold.R
Description
Compute area under ROC curve for process areas
Usage
1 | rocParea(process_area, slide_area, smp_mask, smp_size = 1000, seed = 1234)
|
Arguments
process_area |
RasterLayer of GPP process area |
slide_area |
Runout tracks as a RasterLayer |
smp_mask |
A mask of sample areas as a RasterLayer |
smp_size |
Size of random sample of runount and non-runout cells |
seed |
Specific specific random seed |
Value
AUROC
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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