[Qgis-user] how to interpolate points to a grid

[Alexandre Neto]

My mistake, Alister is right. Raster Grid Interpolation is one of the
options you have to perfom an interpolation from your points to a raster.

On Sat, Aug 6, 2011 at 1:04 PM, Alister Hood <alister.hood at synergine.com>wrote:

> Hi,
> Actually, I think the Raster Grid interpolation _is_ the correct tool,
> although there are other options as has been mentioned.  It is also faster
> and more robust than the interpolation plugin, although that may be able to
> produce better results (I don't know).
>
> Alister
>
> > Date: Fri, 5 Aug 2011 17:11:50 +0100
> > From: Alexandre Neto <senhor.neto at gmail.com>
> > Subject: Re: [Qgis-user] how to interpolate points to a grid
> > To: "M.E.Dodd" <m.e.dodd at open.ac.uk>
> > Cc: "qgis-user at lists.osgeo.org" <qgis-user at lists.osgeo.org>
> > Message-ID:
> >       <CA+H0G_F0wsy_Mmz+KvLD5K8z4FBFgeQZ9R_0y0GccO=
> vL-PHMg at mail.gmail.com>
> Content-Type: text/plain; charset="windows-1252"
> >
> > I don't think Raster Grid Interpolation and Polygonize are the correct
> tools
> > for what you pretend.
> >
> > Did you try the Interpolation Plugin? Make it active in the plugin
> manager,
> > then check this tutorial:
> >
> http://www.gistutor.com/quantum-gis/20-intermediate-quantum-gis-tutorials/51-inverse-distance-weighting-idw-interpolation-using-qgis.html
> >
> > Best Luck,
> >
> > Alex
> >
> > On Fri, Aug 5, 2011 at 2:52 PM, M.E.Dodd <m.e.dodd at open.ac.uk> wrote:
> >
> >>  I have various layers of points from various shapes of sampling (not a
> >> regular rectangular grid) and want to interpolate each of them to
> produce a
> >> set of raster images.  In previous GIS I have used this was generally a
> >> matter of making a boundary then telling the gis the points layer and
> extent
> >> as shown by the boundary and then trying various interpolation methods
> to
> >> see which one looked most like the real data.  However I have yet to
> find
> >> suitable tools in Qgis to do this.  The raster grid interpolate and
> >> polygonise don't seem to have suitable options and when I did try them
> the
> >> output looked rather strange and not what I was expecting as it seemed
> to
> >> have missed out much of the data.
>
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>
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