Spatial block bootstrap using rectangular blocks

Source: R/sperrorest_resampling.R

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

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