Hi, No! Honestly, I did not see the "zones" parameter :-O
Reads as something worth trying. As Anna indicated `r.stats.quantiles`, however, looks there is a kind-of direct option. Thank you! * Stefan Blumentrath <[email protected]> [2018-01-26 21:43:49 +0000]:
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
-- Nikos Alexandris | Remote Sensing & GeomaticsGPG Key Fingerprint 6F9D4506F3CA28380974D31A9053534B693C4FB3
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