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Dear all,<br>
<br>
Hopefully someone of you can help me:<br>
I need to run a kernel density function as distance weighted
function that uses a given attribute. Locations are given as points
and the weight is given in a column. As far as I see, this is not
possible with v.kernel (Manual: "LIMITATIONS The module only
considers the presence of points, but not (yet) any attribute
values."). But some presentations speak of 3D-kernel functions, e.g.
<a class="moz-txt-link-freetext"
href="http://geomatica.como.polimi.it/corsi/geog_info_system/introGRASS.pdf">http://geomatica.como.polimi.it/corsi/geog_info_system/introGRASS.pdf</a><br>
<br>
Searching the web I saw the following solution using R: <a
class="moz-txt-link-freetext"
href="http://lists.osgeo.org/pipermail/grass-user/2010-April/055668.html">http://lists.osgeo.org/pipermail/grass-user/2010-April/055668.html</a>,
but would prefer to keep the solution inside the GRASS workspace.<br>
<br>
Is there an addon I don't know of? Or does anybody have an
alternative approach? <br>
<br>
Thanks, <br>
<br>
Patrick Schirmer<br>
<small>___________________<br>
IVT, ETH Zürich</small><br>
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