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 vector of length 2 defining the variables in data that contain the x and y coordinates of sample locations. 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. 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. additional arguments to be passed to partition_tiles