what about computing the first largest value, making your categorical map, and using it as a mask ?
if you mask all cell containing the first largest value, then the second largest value will become the first largest value of the masked raster serie ... my 2 ct Sylvain 2011/12/10 Marcello Gorini <gor...@gmail.com> > > > Marcello: > > >> > My problem is that I also need to find the *second largest* value and >> the >> > corresponding raster number which contains the second largest value. >> > >> > I am doing that by iterating over all classes through a shell script, >> but it >> > obviously takes much more time than using a simple r.series command. >> > >> > Can anyone share any idea on how to accomplish that using r.series or >> > something similar? >> >> > Glynn: > > >> There isn't an efficient way to do this using existing tools. If you >> need the efficiency, I suggest adding a "second largest" aggregate to >> lib/stats (based upon c_max.c and c_maxx.c), and updating r.series to >> use it. >> >> > Thanks for pointing me the way. I think it is a little beyond my skills, > but I might give it a try. > > Cheers, > Marcello. > > _______________________________________________ > grass-user mailing list > grass-user@lists.osgeo.org > http://lists.osgeo.org/mailman/listinfo/grass-user > >
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