Hi Rich,

Copy and paste from the raster commands overview:
"r.resamp.stats Resamples raster map layers to a coarser grid using 
aggregation."
I thought that was what you were up to, aggregate a higher resolution raster to 
5m resolution, no?
Which aggregation method to use depends on your use case of course. For 
Hydrological applications I would probably use low percentiles (5 or 10%)...
If that was not the case, please reformulate your initial question.

In addition to r.resamp.stats, also in the manuals of r.resamp.filter, 
r.resamp.interp as well as r.resamp there is a description of the purpose the 
modules are intended for. Do I thus understand you correctly, that you ask for 
additional clarifications in the rasterintro?

Cheers
Stefan

-----Original Message-----
From: grass-user <grass-user-boun...@lists.osgeo.org> On Behalf Of Rich Shepard
Sent: torsdag 26. september 2019 00:50
To: grass-user@lists.osgeo.org
Subject: Re: [GRASS-user] Resample DEM to larger cells

On Wed, 25 Sep 2019, Stefan Blumentrath wrote:

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

Stefan,

I don't need statistics on the raster map

> 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

Yes, this information is also found elsewhere. It tells us what methods are 
available and how they work but do not explain for what type of raster map each 
is best suited; or, why should I select this one?

I'm looking to understand the situations for which each interpolation method is 
best suited. Or, when more than one is possible, what criteria should be 
applied to the choice.

Thank you,

Rich

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