Thanks all for the inputs. In the end I implemented a scripting procedure outside grass using pktools (pkfilter). I first tiled the image with some overlap area, than run pkfilter -f stdev , than crop the overlap area and then merge back the full image.
Best Regards Giuseppe On 28 May 2017 at 17:21, Markus Metz <[email protected]> wrote: > > > On Fri, May 26, 2017 at 5:04 PM, Giuseppe Amatulli < > [email protected]> wrote: > > > > > > Hi all, > > I'm running r.neighbors for a global 250m raster with window-size > setting larger than 100 pixels. > > The computation take almost 1 week and i'm thinking if there is a way to > speed up the process. > > > > I know how to set-up a multi-region & multi-core computation and working > in tiles but I would avoid due to the difference that I would encounter in > the tile borders (and tile overlap will be required). > > Tiling would speed up the process. What is the problem with overlapping > tiles? You can set up overlapping tiles, cut the results such that they are > not overlapping each other and patch them in the end. > > Markus M > > > > > Is it possible to run r.neighbors in parallel or increase the memory > that r.neighbors would use (as developed in r.watershed)? > > > > Thank you > > Best > > Giuseppe > > > > > > > > > > -- > > Giuseppe Amatulli, Ph.D. > > > > Research scientist at > > Yale School of Forestry & Environmental Studies > > Yale Center for Research Computing > > Center for Science and Social Science Information > > New Haven, 06511 > > Teaching: http://spatial-ecology.org > > Work: https://environment.yale.edu/profile/giuseppe-amatulli/ > > > > _______________________________________________ > > grass-user mailing list > > [email protected] > > https://lists.osgeo.org/mailman/listinfo/grass-user > > -- Giuseppe Amatulli, Ph.D. Research scientist at Yale School of Forestry & Environmental Studies Yale Center for Research Computing Center for Science and Social Science Information New Haven, 06511 Teaching: http://spatial-ecology.org Work: https://environment.yale.edu/profile/giuseppe-amatulli/
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