cv_block_size: Explore spatial block size

In rvalavi/blockCV: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation

Explore spatial block size

Description

This function assists selection of block size. It allows the user to visualise the blocks interactively, viewing the impact of block size on number and arrangement of blocks in the landscape (and optionally on the distribution of species data in those blocks). Slide to the selected block size, and click Apply Changes to change the block size.

Usage

cv_block_size(r, x = NULL, column = NULL, min_size = NULL, max_size = NULL)

Arguments

r	a terra SpatRaster object (optional). If provided, its extent will be used to specify the blocks. It also supports stars, raster, or path to a raster file on disk.
x	a simple features (sf) or SpatialPoints object of spatial sample data. If r is supplied, this is only added to the plot. Otherwise, the extent of x is used for creating the blocks.
column	character (optional). Indicating the name of the column in which response variable (e.g. species data as a binary response i.e. 0s and 1s) is stored to be shown on the plot.
min_size	numeric; the minimum size of the blocks (in metres) to explore.
max_size	numeric; the maximum size of the blocks (in metres) to explore.

Value

an interactive shiny session

Examples

if(interactive()){
library(blockCV)

# import presence-absence species data
points <- read.csv(system.file("extdata/", "species.csv", package = "blockCV"))
pa_data <- sf::st_as_sf(points, coords = c("x", "y"), crs = 7845)

# manually choose the size of spatial blocks
cv_block_size(x = pa_data,
              column = "occ",
              min_size = 2e5,
              max_size = 9e5)

}

rvalavi/blockCV documentation built on Feb. 3, 2024, 7:26 a.m.