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.
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