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