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<div class="moz-cite-prefix">On 08/07/2014 14:58, Johannes Radinger
wrote:<br>
</div>
<blockquote
cite="mid:CABsGe_xwL_RLyLeRc39JoRybsSY3iVpiy-2QQ7jeHseeXLxY5w@mail.gmail.com"
type="cite">
<div dir="ltr">Hi,
<div><br>
</div>
<div>I've a point vector containing more than 500 points.</div>
<div>Some of these points are spatially clumped while</div>
<div>others are single independent points (from viewing the</div>
<div>map). Now I am wondering if there is any tool in </div>
<div>GRASS (or maybe other spatial-statistical software </div>
<div>like R) that can be used to group the data so that each</div>
<div>point clump is assigned to a group and each single group to
its</div>
<div>own group. Of course, this needs a criterion where</div>
<div>to distinguish between groups/clusters. I'd like to have</div>
<div>groups that are separated by a distance of at least 5 km.</div>
<div><br>
</div>
</div>
</blockquote>
Actually this might be quite simple, if you are happy with the rigid
5 km. distance:<br>
Just create a buffer around all points of 2.5 km, merge the buffer
circles that overlap, then overlay the original points on the merged
buffer areas (clusters) to get a "cat" value from each cluster into
the points attrib table.<br>
There's a nice example of merging buffers in the v.buffer man page.<br>
<br>
<blockquote
cite="mid:CABsGe_xwL_RLyLeRc39JoRybsSY3iVpiy-2QQ7jeHseeXLxY5w@mail.gmail.com"
type="cite">
<div dir="ltr">
<div>Is there any recommendation of a simple or more</div>
<div>advanced procedure to do that?</div>
<div><br>
</div>
<div>All suggestions all welcome! Thanks!</div>
<div><br>
</div>
<div>Best,</div>
<div>Johannes</div>
</div>
<br>
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</blockquote>
<br>
<br>
<pre class="moz-signature" cols="72">--
Micha Silver
GIS Consulting
052-3665918
<a class="moz-txt-link-freetext" href="http://www.surfaces.co.il">http://www.surfaces.co.il</a>
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