On Thu, Nov 14, 2013 at 11:15 AM, Hamish <[email protected]> wrote:
> Hi,
>
> I just added in the dev branches two new flags for v.what.rast.
> [...]
>
> The second flag changes the default containing-grid-cell method to a
> weighted avg. of the 4 nearest raster cell centers (IDW). The search radius
> is not very big [...]
AFAIK, IDW takes as argument the radius which is fixed to 1 which is
questionable. Since v.what.rast samples a raster value at a given
location, why not use the standard raster sampling methods
nearest: nearest neighbor
linear: linear interpolation
cubic: cubic convolution
lanczos: lanczos filter
linear_f: linear interpolation with fallback
cubic_f: cubic convolution with fallback
lanczos_f: lanczos filter with fallback
which are used by r.proj and i.rectify? The concept is essentially the
same: for a given location, estimate the corresponding raster value.
Markus M
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