Markus M.
Thanks once again for the advice. I updated to the most recent version
yesterday and tried v.buffer again but it ran out of memory at around
the 75% complete mark during the snapping boundaries step. I only have
5.7 GB physical memory and 5.7 GB swap available. I tried r.grow and
Thanks for the help compiling with v.buffer. I think I'm running the
correct version now but the function still does not complete properly. I
pasted the last several lines from the terminal screen below. I have a
feeling I ran out of memory. Any ideas about what I can try next?
Ned
--
D0/0:
Markus,
Thanks for fixing the code. I managed to compile v.buffer and I ran it
in the grass65 terminal window and these are the errors I got. There
were several of the Next edge was visited messages but I only cut
out the last couple. Any idea what the problem might be? I'm running on
64
Hi Markus M.
Thanks for the pointer but I'm still having a problem (terminal output
pasted below) and wonder if I'm still accessing v.buffer2. The program
stops because I run out of memory. I have 5.7 GB of physical and 5.8 GB
for my swap and it's not enough. I ran make and make install in
Hi Markus,
Thanks for your help. I am trying to follow your instruction but ran
into a problem compiling v.buffer. I used svn to download grass 6.5 into
/usr/local/src and it appears to have compiled just fine and grass65
seems to be working. To compile v.buffer I tried:
sudo make
Hi - I am trying to create buffers for large (~1GB) line and polygon
vector files. I tried v.buffer but after letting it run overnight with
no apparent progress I killed the process. I'm not aware of any software
capable of buffering large vector files on a modest computer so that
wasn't a big
Hi -
I am trying to run r.rescale to apply a contrast stretch to an image to
allow me to more easily locate ground control points using Georectify.
When I run the following command:
r.rescale input=Quickbird.blue@PERMANENT from=48,106
output=Quickbird.blue.scale to=0,255
I get the
Hi - I would like to do an unsupervised classification using i.cluster
from GRASS 7 on my Ubuntu 64-bit machine. When I run i.cluster then
i.maxlik on a Landsat image I only get one output class, the entire
image. Only one class appears in the signature file so the problem is
with the
Hi -
I'm trying to do an unsupervised classification using GRASS 7 compiled
today from SVN on my Ubuntu 64-bit machine. When I run i.cluster from
the GUI it completes instantly and creates an empty (except for the
line: #produced by i.cluster) signature file. Below is the output from
the
/Hi - I am trying to compile the weekly snapshot 2010-09-04 on Windows
XP so that I can access the r.univar.zonal addon. I get a message that
there is an error with g.region. I tried make in the g.region
directory and here are the errors I got:
--
$ make
gcc
I'm making progress translating my shell script to Python but ran into
another stumbling block. I would like to convert the following shell
script command to the python scrip:
--
v.out.ascii $randomName fs=' ' | r.what input=$resampName $pointTableName
--
I tried various combinations of
I am working on converting a shell script to python and ran into a
problem I haven't been able to figure out using the r.mapcalc command.
Can someone let me know how to write the following command using python.
The command creates a GRASS MASK layer:
r.mapcalc MASK=if(($cloudResampName
Hi Markus,
Thanks for the reply. He are the results of the two commands you requested:
nedhorn...@ubuntu-desktop:~$ uname -a
Linux ubuntu-desktop 2.6.32-22-generic #36-Ubuntu SMP Thu Jun 3 19:31:57
UTC 2010 x86_64 GNU/Linux
nedhorn...@ubuntu-desktop:~$ ldd /usr/lib/libproj.so.0.6.6
Markus,
Thanks for the diagnostic help. I was using the GRASS 7 binary so that's
the problem. I'll try to compile GRASS 7 using the SVN snapshot to see I
can get that to work.
Thanks for your patience.
Ned
On 06/30/2010 06:18 PM, Markus Neteler wrote:
On Wed, Jun 30, 2010 at 11:47 PM, Ned
Hi - I am trying to install Grass 7 in a local directory and the
installation seems to have gone ok but when I run it I get the following
error:
--
WARNING: Nviz extension (3D view mode) disabled. Reason:
/home/nedhorning/bin/grass70/lib/libgrass_datetime.7.0.svn.so: wrong ELF
class:
a script. I have a decent
understanding of r.reclass and r.category but the problem is that I'm
not sure how to join the database to the raster. I'll see if the
r.rast4d module can provide some hints.
Ned
On 3/2/2010 2:38 AM, Hamish wrote:
Ned Horning wrote:
Is it possible to link a raster
Is it possible to link a raster image to a set of attributes stored in a
database using GRASS?
I am working with the Harmonized World Soil Database which consist of an
image and a database that holds a set of soil attributes. These
attributes can be linked/joined to the image since the pixel
I am writing a script that calibrates a 6-band image using slope and
intercept values but am having a problem reading these values from the
command line. In total the script expects 14 parameters to be entered at
the command line but is seems as if only 9 are accepted. Is that a
limitation of
All,
I sent this to Markus and he suggested that some folks on the list might
be interested as well.
A recent article in the International Journal of Remote Sensing
described a comparison of image classification results from the random
forest and kNN algorithms using GRASS and R. The title
Hi -
I have a script that I am running on the Windows version of GRASS 6.4.0
installed using OSGEO4W. The script seems to run okay but the I am
getting a message that I can't figure out.
Early in the script I have the command:
r.mask -r maskcats=*
I also tried: r.mask -r MASK
In both
Markus,
I ran the script in the lower pane of the Output - GIS.m window. I
expect this is a stupid question but in the Windows version where is the
GRASS terminal?
Ned
Markus Neteler wrote:
just a curiosity: are you sure to run this script in the GRASS
terminal?
Markus
Hi I am still working on creating a percent shrub cover map using GRASS
and R and have a question regarding resampling. I have
shrub/non-shrub/cloud maps at 1m resolution and I want to resample those
to 30m pixels using the following logic.
The value of each output 30m pixel will be the
Moritz,
When I run gdalinfo I get the following error: ERROR 4: This is a
BigTIFF file. BigTIFF is not support by this version of GDAL and libtiff
The command line runs GDAL version 1.5.4
Ned
Moritz Lennert wrote:
On 26/04/09 12:13, Nikos Alexandris wrote:
Nikos:
In Ubuntu repositories
Nikos,
Thanks for responding. I installed the 6.4 RC4 binary from the weekly
snapshot. Is BigTIFF support only available if I compile from source?
Ned
Nikos Alexandris wrote:
On Sat, 2009-04-25 at 23:07 +0300, Ned Horning wrote:
Hi -
I am trying to load a large (8 GB) tiff image
Greetings,
I am looking into the possibility of using GRASS with the R Random
Forest algorithm to create a land cover classification. I read the
Furlanello, Neteler et al. paper (very nice) and some others but I need
some help with the details. My problem is somewhat different from the
All -
Is there a command to list signature files? I created a few signature
files but I haven't figured out how to list them to see their file names
in GRASS. The same goes for subgroups although I can see the subgroup
names in the group directory (not via a GRASS command). Last week I'm
Markus,
Thanks for the feedback. The advice is very helpful. I've been slowly getting
used to GRASS but still have a way to go. If I can stick with it I hope to learn
enough to create a week-long GRASS for conservation workshop that we can offer
at our research station in southeastern Arizona and
I'd like to get some feedback on my proposed approach for a land cover
classification
project in GRASS. Basically I'm looking for pointers to help me avoid too many
learning curve pitfalls. I have the 3rd edition of the Grass book (great
resource)
and lots of image processing experience using
Hi - Is there anyone out there who has worked on an algorithm to fill gaps in
Landsat ETM+ SLC-Off data? Now that the Landsat 7 archive is freely available
I am looking for an open source approach to fill the gaps in the SLC-Off data
and GRASS seems like a good option. I'm most interested in
29 matches
Mail list logo
