Spatial Error Estimation and Variable Importance

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Documentation for package ‘sperrorest’ version 0.2-1

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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 boostrap samples
as.represampling.list Resampling objects with repetition, i.e. sets of partitionings or boostrap 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.tilename 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
ecuador J. Muenchow's Ecuador landslide data set
err.default Default error function
get.small.tiles Identify small partitions that need to be fixed.
is.represampling Resampling objects with repetition, i.e. sets of partitionings or boostrap samples
is.resampling Resampling objects such as 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.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 boostrap samples
print.resampling Resampling objects such as partitionings or bootstrap samples
print.sperrorest 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.sperrorestpoolederror Summary and print methods for sperrorest results
print.tilename Alphanumeric tile names
represampling Resampling objects with repetition, i.e. sets of partitionings or boostrap 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.kmeans.bootstrap Spatial block bootstrap at the level of spatial k-means clusters
represampling.tile.bootstrap Spatial block bootstrap using rectangular blocks
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
sperroresterror Perform spatial error estimation and variable importance assessment
sperrorestimportance Perform spatial error estimation and variable importance assessment
summary.represampling Summary statistics for a resampling objects
summary.resampling 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.sperrorestpoolederror Summary and print methods for sperrorest results
tile.neighbors Determine the names of neighbouring tiles in a rectangular pattern
tilename Alphanumeric tile names
validate.resampling Resampling objects such as partitionings or bootstrap samples