Perform Spatial Error Estimation and Variable Importance Assessment

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Documentation for package ‘sperrorest’ version 3.0.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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