It was really odd. The original RGB channels were around 300 Mb each for the entire maps, with a resolution of 0.5m. Only about 1/4 was within the MASK and computational region. It took over 4 hours to run r. composite and produced a resulting map of over 5 Gb, but only for the area in the MASK and region.
When I reset the resolution to 1m, r.composite ran in a minute or so and produced a resulting map of 77Mb. I’m OK with the 1m resolution I guess but the whole thing seemed strange. Michael ______________________________ C. Michael Barton Director, Center for Social Dynamics & Complexity Professor of Anthropology, School of Human Evolution & Social Change Head, Graduate Faculty in Complex Adaptive Systems Science Arizona State University Tempe, AZ 85287-2402 USA voice: 480-965-6262 (SHESC), 480-965-8130/727-9746 (CSDC) fax: 480-965-7671(SHESC), 480-727-0709 (CSDC) www: http://csdc.asu.edu, http://shesc.asu.edu http://www.public.asu.edu/~cmbarton On Sep 9, 2014, at 8:34 AM, Glynn Clements <[email protected]> wrote: > > Michael Barton wrote: > >> It is taking a VERY long time to run r.composite. It is a big map in >> its entirety. But only a part of the map falls within the MASK. >> >> FWIW, I have the computational region set to match the MASK too. > > r.composite doesn't do anything special with regard to the region or > mask. > > A "sparse" map (with large null areas) should have some advantage over > a dense map, as the colour lookup optimises the case where a cell's > value matches the previous cell's value, and also checks for null > before other values. > > -- > Glynn Clements <[email protected]> _______________________________________________ grass-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-dev
