The last line of the output should look like this, giving you the
category values of the nodes in route order:
Nodes' categories (layer 2, 994 nodes):
42,41,164,38,126,15,52,84,16,55,17,157,60,6,61,8,1,76,72,46,47,68,24,25,26,28
How could I parse the 'Nodes categories' array from the d
Hello,
I'm wondering if there is a command that is similar to the euclidean allocation
tool in ArcMap (similar to voronoi polygons in vector analysis)? I would like
to calculate new cell values based on one raster with the shortest distance
from the nearest input feature in another raster.
Any
On Mon, May 7, 2012 at 3:45 PM, Hamish wrote:
> Tyler wrote:
>> I seem to have broken one of my locations. I had been using a number
>> of locations with the same projection, and I had set a
>> region in one of them and copied it over to the others via
>>
>> cp ~/grassdata/location1/PERMANENT/wi
Tyler wrote:
> I seem to have broken one of my locations. I had been using a number
> of locations with the same projection, and I had set a
> region in one of them and copied it over to the others via
>
> cp ~/grassdata/location1/PERMANENT/windows/myregion
> ~/grassdata/location2/PERMANENT/wind
Thank you Moritz, this worked beautifully!
> Date: Mon, 7 May 2012 18:00:01 +0200
> From: mlenn...@club.worldonline.be
> To: l...@isi-solutions.org
> CC: tanya.d...@hotmail.com; grass-user@lists.osgeo.org
> Subject: Re: [GRASS-user] Euclidean distance (grow.distance) on raster to
> certain exte
On 05/07/2012 06:17 PM, Levente wrote:
Thanks for both messages. I think for now I go for
QGIS. However, I don't like the KDE interface. I still don't know
where can I get a map from. I think some basic map would be fine
with roads, waters, borders, etc. For start I
On 07/05/12 16:36, Daniel Lee wrote:
Hi Tanya,
I would use r.distance rather than r.grow.distance and then reclassify
the results to include only areas with <=1108 m distance - that should
be a lot easier.
I don't think r.distance gives what you want, however r.grow.distance
should be exactly
On 07/05/12 17:17, Levente wrote:
Thanks for both messages. I think for now I go for QGIS. However, I
don't like the KDE interface. I still don't know where can I get a map
from. I think some basic map would be fine with roads, waters, borders,
etc.
You can try OpenStreetMap data [1], probably
Thanks for both messages. I think for now I go for QGIS. However, I don't
like the KDE interface. I still don't know where can I get a map from. I
think some basic map would be fine with roads, waters, borders, etc. For
start I don't think I need any 3D information. I give a try to QGIS later
this
Hi Tanya,
I would use r.distance rather than r.grow.distance and then reclassify the
results to include only areas with <=1108 m distance - that should be a lot
easier.
Best,
Daniel
--
B.Sc. Daniel Lee
Geschäftsführung für Forschung und Entwicklung
ISIS - International Solar Information Solutio
Tanya wrote:
> I am trying to run the grow.distance command to create a raster that
> displays the euclidean distance from an 'orchard' outward to 1108m. I am
> not trying to measure the distance between 2 non-null features, but simply
> wish to have the euclidean distance extend out from the o
Hi,
I seem to have broken one of my locations. I had been using a number
of locations with the same projection, and I had set a region in one
of them and copied it over to the others via
cp ~/grassdata/location1/PERMANENT/windows/myregion
~/grassdata/location2/PERMANENT/windows/
This worked fi
Hello,
I am trying to run the grow.distance command to create a raster that displays
the euclidean distance from an 'orchard' outward to 1108m. I am not trying to
measure the distance between 2 non-null features, but simply wish to have the
euclidean distance extend out from the orchard to 110
Dear Grass users,
I have noted a strange result from r.watershed using the MDF option
(with all levels of convergence).
This is a part of my DEM:
http://imageshack.us/photo/my-images/690/demv.png/
This is the result obtained using SDF:
http://imageshack.us/photo/my-images/843/27420800.png/
T
14 matches
Mail list logo