You can use a parallel computing package to do it. I haven't test the
code below (as I do not have a long-running batch file) but I think it
should work:
library(parallel)
cl <- makeCluster(1)
## run the command in a child R process
clusterEvalQ(cl, {
nm_log <- "c:/nm74g64/run/nmfe74"
nmi
Dear Ben and Bert
Thanks very much for the interesting discussion
Yes that why I was additionally using compareRaster(r1,r2) and then resample
(r2, r1) to adapt the extend.
library(raster)
r1 <- raster("")
r2 <- raster("f")
compareRaster(r1, r2)
extent(r1)
extent(r2)
r2_resampled <- resample(
2 matches
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