r.stats.quantile should work: https://grass.osgeo.org/grass72/manuals/r.stats.quantile.html
On Jan 26, 2018 4:44 PM, "Stefan Blumentrath" <[email protected]> wrote: > Hi Nikos, > > Did you consider using r.univar (with a zones map, like v.rast.stats does: > https://trac.osgeo.org/grass/browser/grass/branches/ > releasebranch_7_2/scripts/v.rast.stats/v.rast.stats.py#L238, just with > colon as separator) and using the resulting table as input to r.recode ( > https://grass.osgeo.org/grass74/manuals/r.recode.html) for example? > > Cheers, > Stefan > > > -----Original Message----- > From: grass-user [mailto:[email protected]] On Behalf Of > Nikos Alexandris > Sent: fredag 26. januar 2018 19.52 > To: GRASS-GIS user mailing list <[email protected]> > Subject: [GRASS-user] Alternative to r.median for GRASS 7.x? > > Dear statistics experts, > > how can we compute the median of a floating point cover raster map, over a > base map (using the conventional terminology as in r.stats.zonal)? > > It appears that there is no module to get the median out of floating point > raster maps, using a base map as in r.stats.zonal or r.statistics (which > does not support floating point figures). > > Is there an alternative to r.median for GRASS 7.x? > > > A work around with r.statistics, is to use r.reclass and get the floating > point numbers (reported via r.stats -n1) as category labels of the cover > map. Yet, r.reclass rounds up floats before assigning a category. > > At the moment the shortest path seems to be v.rast.stats. This would > require some conversions back and forth from raster to vector for the base > map though. > > Thank you for any hints, Nikos > _______________________________________________ > grass-user mailing list > [email protected] > https://lists.osgeo.org/mailman/listinfo/grass-user
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