Hi Rich,

Please have a look at:
https://grass.osgeo.org/grass76/manuals/r.resamp.stats.html

With g.search.modules 
(https://grass.osgeo.org/grass76/manuals/g.search.modules.html) you can search 
for modules using keywords.

Also https://grass.osgeo.org/grass76/manuals/rasterintro.html has a section on 
resampling and you can get a brief overview over available options on: 
https://grass.osgeo.org/grass76/manuals/raster.html

Cheers
Stefan

-----Original Message-----
From: grass-user <grass-user-boun...@lists.osgeo.org> On Behalf Of Rich Shepard
Sent: onsdag 25. september 2019 21:26
To: grass-user@lists.osgeo.org
Subject: [GRASS-user] Resample DEM to larger cells

I have a DEM built with 68 raster maps (attached) developed from LiDAR (1m) 
data and reprojected using lanczos_f (which might have been a poorer choice for 
this type of raster, but I wasn't aware of this at the time). There's still a 
source map missing (I've contacted the source about this) but I want to 
resample the maps to 5m x 5m cell size. I think that would eliminate some of 
the sharp discrepancies in the assembled map.

There are five or six flavors of r.resample and I would appreciate advice on 
which would be most appropriate for me to use on these data. I don't know 
enough about the underlying algorithms to make an intelligent choice.

TIA,

Rich
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