Crop rasters around a point (Convolutional Neural Networks)

Crop rasters for a single spatial point. Function used internally to construct Convolutional Neural Networks

Usage

croppin_hood(
  occ,
  x,
  y,
  raster,
  size,
  raster_padding = FALSE,
  padding_method = NULL
)

Arguments

occ: tibble or data.frame. Database with response, predictors, and partition values
x: character. Column name with spatial x coordinates
y: character. Column name with spatial y coordinates
raster: SpatRaster. Raster with environmental variables.
size: numeric. Size of the cropped raster, number o cell in each direction of a focal cell
raster_padding: logical. If TRUE, the raster will be padded when cropping extends beyond its boundaries. Useful for ensuring all focal cells have the same size output even at the edges of the raster. Default FALSE
padding_method: string or NULL. Method used for padding the raster if raster_padding is TRUE. Options are "mean", "median", "zero". Ignored if raster_padding is FALSE. Default NULL

Value

SpatRaster. Croped raster

Examples

if (FALSE) {
require(terra)

# Datasbase with species abundance and x and y coordinates
data("sppabund")

# Extract data for a single species
some_sp <- sppabund %>%
  filter(species == "Species three")

# Raster data with environmental variables
envar <- system.file("external/envar.tif", package = "adm")
envar <- terra::rast(envar)

#
sampl_r <- croppin_hood(occ = some_sp[1, ], x = "x", y = "y", raster = envar, size = 5)
plot(sampl_r)
plot(sampl_r[[1]])
points(some_sp[1, c("x", "y")], pch = 19)
}