Hi Javier, This looks really useful, thanks! My python skills are very limited, so I will have to look at it better to see what I can understand. But to start, the parallel function, does that also solve the handling of potentially very large raster layers?
Btw, this does look like a very useful set of functions, any plan to develop this into a GRASS addon or function? Paulo On Sun, Feb 15, 2015 at 9:22 PM, Javier Martínez-López < javi.martinez.lo...@gmail.com> wrote: > Hi Paulo, > > you can see an implementation of the mahalanobis distance computed in > parallel (using all computer processors) for a single image here: > > https://github.com/javimarlop/eHabpy/blob/master/ehab.py > > see lines 32-86 and 597. I hope it helps! Cheers, Javier > > On Sat, Feb 14, 2015 at 7:29 PM, Vaclav Petras <wenzesl...@gmail.com> > wrote: > > > > On Sat, Feb 14, 2015 at 11:47 AM, Paulo van Breugel < > p.vanbreu...@gmail.com> > > wrote: > >> > >> > >> For a quick solution, what about using r.tile to split the input data in > >> tiles and compute the mahalanobis distance per tile. > > > > > > See PyGRASS GridModule class which will do tiling (and a lot of other > > things) for you. > > > > > http://grass.osgeo.org/grass70/manuals/libpython/pygrass.modules.grid.html > > > > _______________________________________________ > > grass-dev mailing list > > grass-dev@lists.osgeo.org > > http://lists.osgeo.org/mailman/listinfo/grass-dev >
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