represampling_tile_bootstrap: Spatial block bootstrap using rectangular blocks

In sperrorest: Perform Spatial Error Estimation and Variable Importance Assessment

Spatial block bootstrap using rectangular blocks

Description

represampling_tile_bootstrap performs a non-overlapping spatial block bootstrap by resampling at the level of rectangular partitions or 'tiles' generated by partition_tiles.

Usage

represampling_tile_bootstrap(
  data,
  coords = c("x", "y"),
  repetition = 1,
  nboot = -1,
  seed1 = NULL,
  oob = FALSE,
  ...
)

Arguments

data	data.frame containing at least the columns specified by coords
coords	vector of length 2 defining the variables in data that contain the x and y coordinates of sample locations.
repetition	numeric vector: cross-validation repetitions to be generated. Note that this is not the number of repetitions, but the indices of these repetitions. E.g., use repetition = c(1:100) to obtain (the 'first') 100 repetitions, and repetition = c(101:200) to obtain a different set of 100 repetitions.
nboot	see represampling_factor_bootstrap
seed1	seed1+i is the random seed that will be used by set.seed in repetition i (i in repetition) to initialize the random number generator before sampling from the data set.
oob	see represampling_factor_bootstrap
...	additional arguments to be passed to partition_tiles

sperrorest documentation built on Oct. 16, 2022, 5:05 p.m.