[GRASS-user] Resample DEM to larger cells

Stefan Blumentrath Stefan.Blumentrath at nina.no
Wed Sep 25 23:22:10 PDT 2019

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?


-----Original Message-----
From: grass-user <grass-user-bounces at lists.osgeo.org> On Behalf Of Rich Shepard
Sent: torsdag 26. september 2019 00:50
To: grass-user at 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


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,


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