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Grid resolution of an environmental data object

Source: R/regrid.R
grid_resolution.Rd

Read off the coordinates actually present, as the median spacing between neighbouring cell centres in each direction. The median rather than the mean so that a single missing row or column does not shift the answer.

Usage

grid_resolution(env_dat)

Arguments

env_dat

an sf POINT object from any access function - accessCopernicus(), accessFVCOM(), accessHYCOM(), accessCCMP() or accessERDDAP()

Value

named numeric vector c(x = , y = ) in the units of the object's CRS, degrees for every access function here. NA in a direction with only one distinct coordinate, and meaningless on an unstructured FVCOM mesh, which has no regular spacing to report.

Details

Useful on its own for deciding which way to resample: compare two products and the coarser one is the one to bring the other onto, or not, depending on which trade-off you want. See upscale_grid() for what that choice costs.

See also

upscale_grid(), downscale_grid()

Examples

if (FALSE) { # \dontrun{
grid_resolution(env)          # x 0.083  y 0.083
} # }