Not a QGIS (or GRASS) based solution, but GMT (Generic Mapping Tools) has some
excellent gridding tools, and for the same price :-)
xyz2grd http://gmt.soest.hawaii.edu/doc/5.1.0/xyz2grd.htmlsurface (very
powerful & configureable) http://gmt.soest.hawaii.edu/doc/5.1.0/surface.html
greenspline http://gmt.soest.hawaii.edu/doc/5.1.0/greenspline.html
triangulate
http://gmt.soest.hawaii.edu/doc/5.1.0/triangulate.htmlsphtriangulate
http://gmt.soest.hawaii.edu/doc/5.1.0/sphtriangulate.htmlnearneighbour
http://gmt.soest.hawaii.edu/doc/5.1.0/nearneighbor.html
Surface in particular - as you increase the surface tension parameter, you will
get a model which gets smoother - removing artifacts but also real spikes.
Triangulation fits a surface touching each datapoint, with no smoothing, so
tends to create ridges or valleys on the lines between points.
Whatever tool you use, no one algorithm fits all datasets well, which is why
there are so many of them! You may need to experiment with the algorithm
(command) and parameters (including grid increment size) which give the "best"
result - ie: the one you like most :-)
Cheers,
Brent Wood
From: Nicolas Cadieux <nicolas.cadi...@archeotec.ca>
To: qgis-user@lists.osgeo.org
Sent: Monday, October 19, 2015 4:19 PM
Subject: Re: [Qgis-user] Removing artifacts in a created DEM
Hi,
I would go with the TIN if your points are far apart. That will not create the
bumps that you see. IDW is good but you may have to change the IDW weights
from 2 (1\2, the typical gravity model) to 3 or 4 to smooth thing out. Be
careful and make sure you original values don't shift too much. NN is very
good if you have a very high density of sampling points (like LiDAR), at least
in regards to the way it is implemented by GDAL.Nicolas Cadieux M.Sc.
Les Entreprises Archéotec inc.
8548, rue Saint-Denis Montréal H2P 2H2
Téléphone: 514.381.5112 Fax: 514.381.4995
www.archeotec.caOn Oct 17, 2015 03:29, "Andreas Neumann [via OSGeo.org] "
<[hidden email]> wrote:
Hi Hernan,
I think neither of the methods you used give good results for interpolating
terrain data (or most other interpolations).
I had good results with v.surf.rst (available in the Processing toolbox in the
GRASS section). There are tons of options with the v.surf.rst - but the
defaults probably work for most options. You also don't have to output all the
raster results - just the interpolated surface.
One of the other options is the "Interpolation plugin" which comes with QGIS
(but you have to enable it in QGIS). It appears in the raster menu in as
"Interpolation". It offers a TIN interpolation and IDW. I think the TIN method
is the more interesting one.
Hope this helps,
Andreas
On 17.10.2015 00:21, hersala wrote:
Hello,
I'm working with a bundle of N-S and E-W distributed DGPS point transects on
gentle glacier slope. With these points I created a shp file and then I
obtained several DEMs (.tif files) using the tool Raster/Analysis/Grid
(Interpolation). I've used Nearest Neighbor, Runing Means and Inverse Distance
with several argument values. Inverse Distance produces the best results, but
there are some artifacts that persists and makes the output unusable. They give
the impression as if the glacial slope has bumps, but on the contrary, it is
quite gentle.
Can anyone give any advice in how to proceed to reduce such artifacts.
I'm using QGIS 2.8.2-Wien in MS-Windows.
Thanks in advance.
Hernan
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