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Message: 1
Date: Fri, 7 Apr 2017 15:50:06 +0200
From: Benjamin Leutner <benjamin.leut...@uni-wuerzburg.de>
To: R-mailing list <r-sig-geo@r-project.org>
Subject: Re: [R-sig-Geo] Raster math on a stack of large rasters
Message-ID: <205e8b66-4307-5dea-73e
Also take a look at using raster:: clusterR() in combination with calc()
to use multiple cores. This works well if your your calculation function
does not require neighboring cells.
--Mel.
On 04/07/2017 09:50 AM, Benjamin Leutner wrote:
You could stick to the native raster format (grd), in
You could stick to the native raster format (grd), in which case calc()
writes to your final file directly.
Of course that doesn't change the file size issue, but saves you the
translation step to geotiff.
For the file size you could consider restricting the datatype to integer
(see
I apologize for not including my sessionInfo() previously:
> sessionInfo()
R version 3.3.3 (2017-03-06)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
Hi,
I am performing a math operation on a stack of large rasters. The code below
uses smaller files for illustration and reproducibility.
Any alternative way of performing this task that does not create huge temporary
files, and perhaps cuts down on processing time, would be greatly appreciated.
