[R-sig-Geo] Raster in parallel computing?

[Roger Bivand]

Did you notice the thread started yesterday that appears to meet your 
need:

https://stat.ethz.ch/pipermail/r-sig-geo/2014-January/020156.html

It is always a good idea to look at the list archives, a search on:

"list:R-sig-geo raster parallel"

gives a number of potentially interesting hits. You could then preface 
your posting by saying that you have already tried some possible 
solutions, and would like help with them.

Roger

On Wed, 8 Jan 2014, Camilo Mora wrote:

> 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')
>
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-- 
Roger Bivand
Department of Economics, Norwegian School of Economics,
Helleveien 30, N-5045 Bergen, Norway.
voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: Roger.Bivand at nhh.no