All functions

add.distance add.distance.resampling add.distance.represampling

Add distance information to resampling objects

as.represampling represampling as.represampling_list as.represampling.list print.represampling is_represampling

Resampling objects with repetition, i.e. sets of partitionings or boostrap

as.resampling resampling as.resampling_default as.resampling.default as.resampling.factor as.resampling_list as.resampling.list validate.resampling is.resampling print.resampling

Resampling objects such as partitionings or bootstrap samples

as.tilename tilename as.tilename_numeric as.tilename.numeric as.character.tilename as.numeric.tilename as.tilename_character as.tilename.character print.tilename

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

partition_factor

Partition the data for a (non-spatial) leave-one-factor-out cross-validation

partition_kmeans

Partition samples spatially using k-means clustering of the coordinates

partition_tiles

Partition the study area into rectangular tiles

plot.represampling plot.resampling

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

summary.represampling summary.resampling

Summary statistics for a resampling objects

summary.sperrorestreperror summary.sperrorest print.sperrorestimportance print.sperroresterror print.sperrorestreperror print.sperrorest print.sperrorestbenchmarks print.sperrorestpackageversion

Summary and print methods for sperrorest results

summary.sperroresterror

Summarize error statistics obtained by

summary.sperrorestimportance

Summarize variable importance statistics obtained by

tile_neighbors

Determine the names of neighbouring tiles in a rectangular pattern