Generate a data frame version of any raster object. Use the arguments 'cell', 'dim', 'split_date' and 'value' to control the columns that are included in the output.
# S3 method for BasicRaster
as_tibble(
x,
cell = TRUE,
dim = nlayers(x) > 1L,
value = TRUE,
split_date = FALSE,
xy = FALSE,
...
)a RasterLayer, RasterStack or RasterBrick
logical to include explicit cell number
logical to include slice index
logical to return the values as a column or not
logical to split date into components
logical to include the x and y centre coordinate of each cell
unused
a data frame (tibble) with columns:
cellvalue the actual value of the raster cell
cellindex the index of the cell (numbered from 1 to ncell() in the raster way).
Columns cellindex or cellvalue may be omitted if either or both of cell and/or value are FALSE, respectively
Other columns might be included depending on the properties of the raster and the arguments to the function:
year,month,day if split_date is TRUE
x,y if xy is TRUE
dimindex if the input has more than 1 layer and dim is TRUE.
If the raster has only one layer, the slice index is not added. Use 'dim = FALSE' to not include the slice index value.
## basic data frame version of a basic raster
as_tibble(raster::raster(volcano))
#> # A tibble: 5,307 × 2
#> cellvalue cellindex
#> <dbl> <int>
#> 1 100 1
#> 2 100 2
#> 3 101 3
#> 4 101 4
#> 5 101 5
#> 6 101 6
#> 7 101 7
#> 8 100 8
#> 9 100 9
#> 10 100 10
#> # ℹ 5,297 more rows
## data frame with time column since raster has that set
r <- raster::raster(volcano)
br <- raster::brick(r, r)
as_tibble(raster::setZ(br, Sys.Date() + 1:2), cell = TRUE)
#> # A tibble: 10,614 × 3
#> cellvalue cellindex dimindex
#> <dbl> <int> <date>
#> 1 100 1 2024-01-11
#> 2 100 2 2024-01-11
#> 3 101 3 2024-01-11
#> 4 101 4 2024-01-11
#> 5 101 5 2024-01-11
#> 6 101 6 2024-01-11
#> 7 101 7 2024-01-11
#> 8 100 8 2024-01-11
#> 9 100 9 2024-01-11
#> 10 100 10 2024-01-11
#> # ℹ 10,604 more rows