sgsR (version 1.5.0)

sample_systematic: Systematic sampling

Description

Systematic sampling with random start point and translation within a square or hexagonal tessellation.

Usage

sample_systematic(
  raster,
  cellsize,
  square = TRUE,
  location = "centers",
  force = FALSE,
  access = NULL,
  buff_inner = NULL,
  buff_outer = NULL,
  plot = FALSE,
  filename = NULL,
  overwrite = FALSE,
  details = FALSE,
  ...
)

Value

An sf object with sampled points over a tessellation.

Arguments

raster

spatRaster. Raster used to define extent of fishnet grid.

cellsize

Numeric. Desired cellsize for tessellation.

square

Logical. Tessellation shape. Default is regular square grid, if FALSE hexagons are used.

location

Character. Sample location within tessellation. Default = "centers") returns samples at tessellation centers, "corners" - corners of tessellation are returned, "random" - samples are randomly located within tessellations.

force

Logical. Only applies when location = "random". If TRUE, random samples are forced to fall in areas where raster does not have NA values. This will considerably slow processing.

access

sf. Road access network - must be lines.

buff_inner

Numeric. Inner buffer boundary specifying distance from access where plots cannot be sampled.

buff_outer

Numeric. Outer buffer boundary specifying distance from access where plots can be sampled.

plot

Logical. Plots output strata raster with samples.

filename

Character. Path to write output samples.

overwrite

Logical. Choice to overwrite existing filename if it exists.

details

Logical. If FALSE (default) output is sf object of systematic samples. If TRUE returns a list of sf objects where tessellation is the tessellation grid for sampling, and samples are the systematic samples.

...

Additional arguments for st_make_grid. Options include offset to offset grid by providing lower left coordinates.

Author

Tristan R.H. Goodbody, Lukas Winiwarter

See Also

Other sample functions: sample_ahels(), sample_balanced(), sample_clhs(), sample_existing(), sample_nc(), sample_srs(), sample_strat(), sample_sys_strat()

Examples

#--- Load raster and access files ---#
r <- system.file("extdata", "mraster.tif", package = "sgsR")
mr <- terra::rast(r)
#--- perform grid sampling ---#
sample_systematic(
  raster = mr,
  cellsize = 1000
)

sample_systematic(
  raster = mr,
  cellsize = 1000,
  location = "corners",
  plot = TRUE
)

sample_systematic(
  raster = mr,
  cellsize = 1000,
  square = FALSE,
  location = "random",
  plot = TRUE
)