voluModel (version 0.2.3)

mSampling3D: 3D background sampling

Description

Samples XYZ coordinates from a shapefile from maximum to minimum occurrence depth at XYZ resolution of envBrick.

Usage

mSampling3D(occs, envBrick, mShp, depthLimit = "all", verbose = TRUE)

Value

A data.frame with 3D coordinates of points for background sampling.

Arguments

occs

A data.frame with at least three columns named "longitude", "latitude", and "depth", or that can be coerced into this format.

envBrick

A SpatRaster vector object to serve as a template for generating background sampling coordinates.

mShp

A shapefile defining the area from which background points should be sampled.

depthLimit

An argument controlling the depth extent of sampling. Refer to Details for more information.

verbose

logical. Switching to FALSE mutes message describing which columns in occs are interpreted as x, y, and z coordinates.

Details

This function is designed to sample background points for distributional modeling in three dimensions. If a voxel (3D pixel) in the SpatRaster vector intersects with an occurrence from occs, it is removed. Note that this function returns points representing every voxel in the background area within the specified depth range. It is up to the user to downsample from these data as necessary, depending on the model type being used.

depthLimit argument options:

• occs Samples background from the full depth extent of occs.

• all Samples background from the full depth extent of envBrick.

• A vector of length 2 with maximum and minimum depth values from which to sample.

Examples

library(terra)

# Create test raster
r1 <- rast(ncol=10, nrow=10)
values(r1) <- 1:100
r2 <- rast(ncol=10, nrow=10)
values(r2) <- c(rep(20, times = 50), rep(60, times = 50))
r3 <- rast(ncol=10, nrow=10)
values(r3) <- 8
envBrick <- c(r1, r2, r3)
names(envBrick) <- c(0, 10, 30)

# Create test occurrences
set.seed(0)
longitude <- sample(ext(envBrick)[1]:ext(envBrick)[2],
                    size = 10, replace = FALSE)
set.seed(0)
latitude <- sample(ext(envBrick)[3]:ext(envBrick)[4],
                   size = 10, replace = FALSE)
set.seed(0)
depth <- sample(0:35, size = 10, replace = TRUE)
occurrences <- data.frame(longitude,latitude,depth)

# Generate background sampling buffer
buffPts <- vect(occurrences,
                c("longitude", "latitude"))
crs(buffPts) <- crs(envBrick)
mShp <- aggregate(buffer(buffPts, width = 1000000))

# Here's the function
occSample3d <- mSampling3D(occs = occurrences,
                           envBrick = envBrick,
                           mShp = mShp,
                           depthLimit = "occs")