All functions
|
add.distance
|
Add distance information to resampling objects |
as.represampling print is_represampling
|
Resampling objects with repetition, i.e. sets of partitionings or boostrap
samples |
as.resampling validate.resampling is.resampling print
|
Resampling objects such as partitionings or bootstrap samples |
as.tilename as.character as.numeric print
|
Alphanumeric tile names |
dataset_distance
|
Calculate mean nearest-neighbour distance between point datasets |
err_default
|
Default error function |
get_small_tiles
|
Identify small partitions that need to be fixed. |
partition_cv_strat
|
Partition the data for a stratified (non-spatial) cross-validation |
partition_cv
|
Partition the data for a (non-spatial) cross-validation |
partition_disc partition_loo
|
Leave-one-disc-out cross-validation and leave-one-out cross-validation |
partition_factor_cv
|
Partition the data for a (non-spatial) k-fold cross-validation at the group
level |
partition_factor
|
Partition the data for a (non-spatial) leave-one-factor-out cross-validation
based on a given, fixed partitioning |
partition_kmeans
|
Partition samples spatially using k-means clustering of the coordinates |
partition_tiles
|
Partition the study area into rectangular tiles |
plot
|
Plot spatial resampling objects |
represampling_bootstrap
|
Non-spatial bootstrap resampling |
represampling_disc_bootstrap
|
Overlapping spatial block bootstrap using circular blocks |
represampling_factor_bootstrap
|
Bootstrap at an aggregated level |
represampling_kmeans_bootstrap
|
Spatial block bootstrap at the level of spatial k-means clusters |
represampling_tile_bootstrap
|
Spatial block bootstrap using rectangular blocks |
resample_factor
|
Draw uniform random (sub)sample at the group level |
resample_strat_uniform
|
Draw stratified random sample |
resample_uniform
|
Draw uniform random (sub)sample |
sperrorest-package
|
Spatial Error Estimation and Variable Importance |
sperrorest
|
Perform spatial error estimation and variable importance assessment
in parallel |
summary
|
Summary statistics for a resampling objects |
summary print
|
Summary and print methods for sperrorest results |
summary
|
Summarize error statistics obtained by sperrorest |
summary
|
Summarize variable importance statistics obtained by sperrorest |
tile_neighbors
|
Determine the names of neighbouring tiles in a rectangular pattern |