Hi everyone,
I am using the package "raster" to interpolate a large number of
rasters (~1million) of different resolutions to a unique 1degree
resolution grid and wonder if you know if it is possible to do this in
parallel computer?.
My code (example below) works like a charm but it will take 30 days to
process all the rasters. Sadly, the process only uses one core of my
computer. I wonder if there is a way to run this code (example below)
in parallel computer?.
Thanks,
Camilo
####TEST CODE######
library (raster)
#creates 3 test rasters
a <- raster(nrow=3, ncol=3)
a[] <- 1:9
b <- raster(nrow=3, ncol=3)
b[] <- 10:18
c <- raster(nrow=3, ncol=3)
c[] <- 19:27
#concatenates the rasters
d<-brick(a,b,c)
#creates a raster at a different resolution
s <- raster(nrow=10, ncol=10)
#interpolates data from the brick to the new resolution
s <- resample(d, s, method='bilinear')
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.