Suppose I have a n*n raster, and I want to create k square blocks (k can be divided exactly by n*n ) for zonal analysis:
for example, when n = 4 and k = 4 a 4*4 raster is create with value
1 1 2 2 1 1 2 2 3 3 4 4 3 3 4 4
How can I do this in R?
It would be nice to have the code execute correctly even when the block dimensions do not evenly divide the raster dimensions. Indeed, it's not any harder to create rectangular blocks (say, k1 rows by k2 columns) within a rectangular grid (of, say, n1 rows by n2 columns). To solve the problem as stated, set k1 = k2 = sqrt(k) and n1 = n2 = n.
For example, let's set up to create a 15 million cell raster with large rectangular blocks:
The solution is still a one-liner:
It's reasonably fast: the timing for this operation was 1.34 seconds, more than ten million cells per second.
You can offset the blocks by changing the two "-1"s in the code to other (integral) values.
If I understood correctly you want to create a raster of a certain size with constant values in zones. You can do that in two steps. First create a matrix with your blocks. Then convert it to a raster. Assuming you want k*k blocks, here is a script that creates those zones:
The result for
I think the