Split gridded data extents into subsets for parallel processing.
gridTiles(X, n = NULL, px = c(1000, 1000), overlap = 0) # S3 method for stars gridTiles(X, n = NULL, px = c(1000, 1000), overlap = 0) # S3 method for RasterLayer gridTiles(X, n = NULL, px = c(1000, 1000), overlap = 0)
| X | The gridded ( |
|---|---|
| n | number of tiles. Can be a vector length 1 or of length 2 (rows, columns) |
| px | number of pixels per side of a tile. Can be a vector of length 2 (rows, column pixels). Ignored if n provided. Default is 1000. |
| overlap | number of pixels of overlap between internal tiles |
data.frame where each row is a set of tile indices and sizes.
tid tile identification number (sequential)
xl leftmost column index
yl lowest row index
xu rightmost column index
yu topmost row index
cropXsize number of columns in the tile
cropYsize number of rows in the tile
@examples data("kampala") # example dataset g <- kampala$mastergrid
gridTiles(g) gridTiles(g, n=2) gridTiles(g, px=c(5, 25))
gridTiles provides a convenient way for splitting a gridded
dataset into sub-datasets for cropping or processing individually. The
splitting uses the extent of the total grid, potentially including noData
cells.