Generate a table of tile indexes from a tiling object.
tile_index(x)tiling object, created by [tiles()]
data frame, see details
A data frame with
* **tile** - index, same as raster cell number * **offset_x** - column offset of tile (index column 0-based) * **offset_y** - row offset of tile (index row 0-based, relative to top row) * **ncol** number of columns in tile (the right and bottom margins may have a dangle based on block size) * **nrow** number of rows in th tile * xmin, xmax, ymin, ymax - the exent
Note that ncol,nrow is the block size *unless* the tile is part of a dangling column or row (right or bottom) where the raster doesn't fill complete tiles.
tile_index(grout(c(87, 61), extent = c(0, 1, 0, 1), blocksize = c(32, 16)))
#> # A tibble: 12 × 11
#> tile offset_x offset_y tile_col tile_row ncol nrow xmin xmax ymin ymax
#> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 0 0 1 1 32 16 0 0.368 0.738 1
#> 2 2 32 0 2 1 32 16 0.368 0.736 0.738 1
#> 3 3 64 0 3 1 23 16 0.736 1 0.738 1
#> 4 4 0 16 1 2 32 16 0 0.368 0.475 0.738
#> 5 5 32 16 2 2 32 16 0.368 0.736 0.475 0.738
#> 6 6 64 16 3 2 23 16 0.736 1 0.475 0.738
#> 7 7 0 32 1 3 32 16 0 0.368 0.213 0.475
#> 8 8 32 32 2 3 32 16 0.368 0.736 0.213 0.475
#> 9 9 64 32 3 3 23 16 0.736 1 0.213 0.475
#> 10 10 0 48 1 4 32 13 0 0.368 0 0.213
#> 11 11 32 48 2 4 32 13 0.368 0.736 0 0.213
#> 12 12 64 48 3 4 23 13 0.736 1 0 0.213
## only one tile in this weird scheme!
tile_index(grout(c(61, 87), blocksize = c(61, 87)))
#> # A tibble: 1 × 11
#> tile offset_x offset_y tile_col tile_row ncol nrow xmin xmax ymin ymax
#> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 0 0 1 1 61 87 0 61 0 87