I have a large (7000x7000, 10-layered) raster stack whose values range from 0
to 100.
I need to modify the raster values using the a "lookup table" consisted of a
matrix which is 100 rows long by 10 cols wide, where the number of rows is
associated with the 0-100 value range of the raster and the number of columns
relates to the number of layers of the raster stack.
The following code creates a toy example of my dataset:
# Create raster stackr <- raster(ncol=50, nrow=50)s <- stack(lapply(1:10,
function(x) setValues(r, 1:ncell(r))))
# Create lookup tablem <- matrix(sample(100, 100*10, TRUE), 100, 10)
Therefore, I need to loop through each cell of the raster and check its value.
For example, if the cell value is `20`, then the new value will be reassigned
from the 20th line and 1st column in the matrix.
And so on for the 2nd raster stack layer and 2nd matrix column. And so on for
the remaining raster stack layers and matrix columns.
Any ideas on how to do that?
I know this sounds a bit cumbersome, but that's how a few ISRIC-WISE's soil
datasets are organized!
Greetings, -- Thiago V. dos Santos
Postdoctoral Research FellowDepartment of Climate and Space Science and
EngineeringUniversity of Michigan
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