Just wanted to update this thread in case anyone else comes looking. Some
of these things were not immediately clear to me.
I ended up doing:
library(raster)
library(ncdf4)
fn=list.files('serverpath')
fnstack=stack(fn)
layerdates=names(fnstack)
#instead of writeRaster, use ncdf4 directly to get aro
Ok - Looks like it worked this time for 112 files from 2012. The netcdf is
2.25 GB while the compressed multiband geotiff is 510MB. Does the netcdf
have so much overhead- the 112 file at 10MB each are only 1.12 GB
individually?
I like the tidiness of 1 file per year so I'll have to play with how e
Hi Michael -
Yes saving as GTiff with the compression options reduced the file size from
~10MB to ~2.5M for a single file but I am having a lot of trouble getting it
to save the whole stack. I'm definitely running out of memory on my computer
so maybe R is being slow and timing out? I've left it ov
On Thu Feb 05 2015 at 7:41:33 AM Dominik Schneider <
dominik.schnei...@colorado.edu> wrote:
> I think you are correct.
> s=stack(fn,quick=T)
> writeRaster(s,'localpath/2012data')
>
>
Ugh, sorry yes that's me reading too fast. I should have suggested the next
step to writeRaster, I'm not sure why
I think you are correct.
s=stack(fn,quick=T)
writeRaster(s,'localpath/2012data')
would get the data local. I guess the trade off is that the file size is an
order of magnitude bigger than if I saved them in an .RData file but much
quicker to access.
ds
On Wed, Feb 4, 2015 at 12:51 PM, Dominik Sch
Why not stack(fn)
?
On Thu, 5 Feb 2015 06:41 Dominik Schneider
wrote:
> Hi -
> I have some data on a server but would like to bring them local in a
> somewhat compressed format that is still easy to access.
>
> /Volumes/hD/2012 -> 100 geotiffs
> ~/project/data/ -> store those geotiffs here with
Wouldn't that keep the link to the server on which they are stored now?
Dominik Schneider
o 303.735.6296 | c 518.956.3978
On Wed, Feb 4, 2015 at 12:50 PM, Michael Sumner wrote:
> Why not stack(fn)
>
> ?
>
> On Thu, 5 Feb 2015 06:41 Dominik Schneider
> wrote:
>
>> Hi -
>> I have some data on a
Hi -
I have some data on a server but would like to bring them local in a
somewhat compressed format that is still easy to access.
/Volumes/hD/2012 -> 100 geotiffs
~/project/data/ -> store those geotiffs here without needing server access.
untested, I think I could do something like:
s=stack()
wr
