rwSPCV: Perform (repeated) spatial cross-validation of random walk...
In jngtz/runout.opt: GPP regional runout model optimization and validation in R
View source: R/randomwalk_spatial_cross_validation.R
rwSPCV R Documentation
Perform (repeated) spatial cross-validation of random walk optimization
Description
Perform (repeated) spatial cross-validation of random walk optimization
Usage
rwSPCV(x, slide_plys, n_folds, repetitions, from_save = FALSE)
Arguments
x
Random walk grid search results (list) from multiple runouts
slide_plys
A SpatialPolygonsDataframe
n_folds
The number of folds (i.e. partitions)
repetitions
Number of repetitions
from_save
(Logical) if TRUE, will load save files from current working directory
Value
A vector containing numeric labels defining each fold
jngtz/runout.opt documentation built on July 17, 2025, 3:06 a.m.
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View source: R/randomwalk_spatial_cross_validation.R
| rwSPCV | R Documentation |
Perform (repeated) spatial cross-validation of random walk optimization
Description
Perform (repeated) spatial cross-validation of random walk optimization
Usage
rwSPCV(x, slide_plys, n_folds, repetitions, from_save = FALSE)
Arguments
x |
Random walk grid search results (list) from multiple runouts |
slide_plys |
A SpatialPolygonsDataframe |
n_folds |
The number of folds (i.e. partitions) |
repetitions |
Number of repetitions |
from_save |
(Logical) if TRUE, will load save files from current working directory |
Value
A vector containing numeric labels defining each fold
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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