[Qgis-user] split point cloud into X randomly selected (equally sized) parts

[David Fawcett]

Olav,

Take a look at libLas.  http://www.liblas.org/

It does not necessarily have as many commandline tools, but it is
performant and is licensed under BSD and LGPL.

Here is a comparison between libLas and LASTools:
http://www.liblas.org/lastools.html#lastools-liblas

David.

On Fri, Nov 23, 2012 at 6:49 PM, opeeters <opeeters at gmail.com> wrote:

> Great blog, Victor!
> Thank you!
>
> Well actually, a colleague came up with a very simple python script (see
> attachted splitgrid.py
> <http://osgeo-org.1560.n6.nabble.com/file/n5018501/splitgrid.py>  ). This
> is
> no spatial randomisation like eg the v.kcv function in GRASS GIS, but for
> large enough datasets, it delivers wonderfully fast and with a good spatial
> spread. Feel free to add it to your blog if you see any added value.
>
> Thanks Andreas,
> for pointing me to the LAStools! I did not know about them yet and yes,
> even
> if we are not doing LiDAR, these tools are superb in crunching big amounts
> of numbers. I contacted Martin Isenburg concerning a license for using
> las2dem or blast2dem. His response left me a bit shell shocked. I don't
> know
> the guy well enough I guess. But still, everyone has bills to pay. We would
> have the funds to reward him handsomely for his efforts in the project we
> would like to use this application in. But I'm sorry, I really cannot
> endorse the way he is going commercial now.
>
> Thanks paulo25,
> for pointing my to the v.kcv function in GRASS GIS.
> I tried is through the SEXTANTE toolbox, but with 3 million points, I guess
> this algorithm gets clotted. I tried it on a machine with plenty of RAM and
> CPU. The process just dies after some time. But for larger data sets a
> spatial randomisation is not so important as for smaller ones...
>
> Thanks again to you three!
>
> Regards,
> Olav
>
>
>
>
>
>
>
> --
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