R: Perform Spatial Error Estimation and Variable Importance Assessment

# Perform Spatial Error Estimation and Variable Importance Assessment

## Documentation for package ‘sperrorest’ version 3.0.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

sperrorest-package | Spatial Error Estimation and Variable Importance
add.distance | Add distance information to resampling objects
add.distance.represampling | Add distance information to resampling objects
add.distance.resampling | Add distance information to resampling objects
as.character.tilename | Alphanumeric tile names
as.numeric.tilename | Alphanumeric tile names
as.represampling | Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
as.represampling.list | Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
as.represampling_list | Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
as.resampling | Resampling objects such as partitionings or bootstrap samples
as.resampling.default | Resampling objects such as partitionings or bootstrap samples
as.resampling.factor | Resampling objects such as partitionings or bootstrap samples
as.resampling.list | Resampling objects such as partitionings or bootstrap samples
as.resampling_default | Resampling objects such as partitionings or bootstrap samples
as.resampling_list | Resampling objects such as partitionings or bootstrap samples
as.tilename | Alphanumeric tile names
as.tilename.character | Alphanumeric tile names
as.tilename.numeric | Alphanumeric tile names
as.tilename_character | Alphanumeric tile names
as.tilename_numeric | 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.
is.resampling | Resampling objects such as partitionings or bootstrap samples
is_represampling | Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
partition_cv | Partition the data for a (non-spatial) cross-validation
partition_cv_strat | Partition the data for a stratified (non-spatial) cross-validation
partition_disc | Leave-one-disc-out cross-validation and leave-one-out cross-validation
partition_factor | Partition the data for a (non-spatial) leave-one-factor-out cross-validation based on a given, fixed partitioning
partition_factor_cv | Partition the data for a (non-spatial) k-fold cross-validation at the group level
partition_kmeans | Partition samples spatially using k-means clustering of the coordinates
partition_loo | Leave-one-disc-out cross-validation and leave-one-out cross-validation
partition_tiles | Partition the study area into rectangular tiles
plot.represampling | Plot spatial resampling objects
plot.resampling | Plot spatial resampling objects
print.represampling | Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
print.resampling | Resampling objects such as partitionings or bootstrap samples
print.sperrorest | Summary and print methods for sperrorest results
print.sperrorestbenchmarks | Summary and print methods for sperrorest results
print.sperroresterror | Summary and print methods for sperrorest results
print.sperrorestimportance | Summary and print methods for sperrorest results
print.sperrorestpackageversion | Summary and print methods for sperrorest results
print.sperrorestreperror | Summary and print methods for sperrorest results
print.tilename | Alphanumeric tile names
represampling | Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
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_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
resampling | Resampling objects such as partitionings or bootstrap samples
sperrorest | Perform spatial error estimation and variable importance assessment
summary.represampling | title Summary statistics for a resampling objects
summary.resampling | title Summary statistics for a resampling objects
summary.sperrorest | Summary and print methods for sperrorest results
summary.sperroresterror | Summarize error statistics obtained by sperrorest
summary.sperrorestimportance | Summarize variable importance statistics obtained by sperrorest
summary.sperrorestreperror | Summary and print methods for sperrorest results
tilename | Alphanumeric tile names
tile_neighbors | Determine the names of neighbouring tiles in a rectangular pattern
validate.resampling | Resampling objects such as partitionings or bootstrap samples