Make a depth stratified survey grid
This function sets up a depth stratified survey grid. A simple gradient in depth is simulated using stats::spline
(default) with a shallow portion, shelf and deep portion. Adding covariance to the depth simulation is an option.
make_grid( x_range = c(-140, 140), y_range = c(-140, 140), res = c(3.5, 3.5), shelf_depth = 200, shelf_width = 100, depth_range = c(0, 1000), n_div = 1, strat_breaks = seq(0, 1000, by = 40), strat_splits = 2, method = "spline" )
x_range
: Range (min x, max x) in x dimension in kmy_range
: Range (min y, max y) in y dimension in kmres
: Resolution, in km, of the grid cellsshelf_depth
: Approximate depth of the shelf in mshelf_width
: Approximate width of the shelf in kmdepth_range
: Range (min depth, max depth) in depth in mn_div
: Number of divisions to includestrat_breaks
: Define strata given these depth breaksstrat_splits
: Number of times to horizontally split strat (i.e. easy way to increase the number of strata)method
: Use a "spline", "loess" or "bezier" to generate a smooth gradient or simply use "linear" interpolation?Returns a stars object with 2 dimensions (x and y) and 4 attributes (depth, cell, division, strat).
r <- make_grid(res = c(10, 10)) plot(r) p <- sf::st_as_sf(r["strat"], as_points = FALSE, merge = TRUE) plot(p)
survey_grid