Hello!
Ich thought that i have seen the Grass-rpms in the openSuse Buildservice
some time ago, but i cannot find them anymore for 11.0? Are they available
there, so that they can be added as a repository? Or can i add the
'regular' source as a repository?
Thank you!
Uwe Seher
Hi Uwe,
On Tue, 29 Jul 2008 08:16:49 +0200
Uwe Seher [EMAIL PROTECTED] wrote:
Hello!
Ich thought that i have seen the Grass-rpms in the openSuse Buildservice
some time ago, but i cannot find them anymore for 11.0? Are they available
there, so that they can be added as a repository? Or
Markus,
Thank you very much! I have not tested it yet, but after I do I'll write
you with my impressions. I think this could be a very valuable contribution.
Regards,
Tom
Markus Metz wrote:
Hello list,
I'm not sure if this list is the right place or rather the developer
list.
For the A *
Il giorno mar, 29/07/2008 alle 02.22 +0200, G. Allegri ha scritto:
Thanks Luca.
The coding mapping seems correct. So, zeroes are for unsolved pixels...
I'll do some tests to compare the results with r.watershed. At now
they seem quite different. I'm not sure if I should trust onflow
Ivan et al,
Below are some snippets from an email thread in 2005:
Has anyone had any luck using the results from r.terraflow in
r.water.outlet? More specifically I want to use the output direction
grid from r.terraflow for the drainage direction map input of
r.water.outlet. The
Thanks Thomas. I think we should put these on the wiki... When I find time.
I understand the coding scheme, but reclassifying from directions
r.terraflow scheme to the r.watershed one yealds significative
differences, and r.water.outlut works bad with the r.terraflow
results... The main problem
First results of one test I did: excellent!!!
1392776 cells dem with steep slopes but also plain areas
r.watershed.fast: 7 seconds
r.watershed: 4 min and 14 seconds
no difference at all between the two generated network paths...
markus: many thanks..
Ivan
Il giorno lun, 28/07/2008 alle
Ivan anticipated me for a bit.
GREAT Markus! I could crunch Sardinia in one shot. I haven't measured
the time but it was less then 2 minutes, while with r.watershed I got
stalled.
Analyzing the differences between the r.watershed and r.watershed.fast
for a narrower region, there was some subtle,
Yes, there are some differences. Please look at where these differences
are located and if they are significantly changing the results. In flat
areas, there will be several possibilities about how water could flow.
This might also affect the flowpath further upstream. Both the original
version
We're definitely interested in giving this a try too.
Michael
C. Michael Barton, Professor of Anthropology
Director of Graduate Studies
School of Human Evolution Social Change
Center for Social Dynamics Complexity
Arizona State University
Phone: 480-965-6262
Fax:
On 28/07/08 23:14, Markus Metz wrote:
Hello list,
I'm not sure if this list is the right place or rather the developer list.
For the A * Search algorithm in r.watershed (memory version without -m
flag set, r.watershed.ram), I implemented a binary min-heap instead of a
linear array to store
Dear Markus and other r.watershed enthusiasts,
I've thought of a way to make your faster version of r.watershed give
identical results as the older r.watershed. r.watershed.old uses a breadth
first search in section 2. r.watershed.fast is breadth first when the DEM
values are different. The trick
Dear Chuck,
r.watershed is a much valued tool in GRASS, for me the best watershed
analsis tool not only in GRASS, therefore I thought about a a way to
keep the results identical too. I am also aware that the closer the
results produced by changes in the algorithm are to the results produced
Hello,
Here you can find some scripts, perhaps useful.
Thanks you for these scripts. They are really useful.
Nevertheless, I cannot get around expressing my disappointment about
GRASS in this area.
* I cannot just point the program to a directory of shapefiles and tell
it import all. QGIS,
Hello,
what methodes are recommended to use within GRASS to calibrate a map
with by using geostatistical methods?
OK, normally the method depends on the kind of data. Therefore I may
give an example:
I have long-term meteorological mesurement data (timeseries aggregated
to monthly frequency)
Hello,
for my current project I would like to create some postscript maps.
When I run ps.map it takes a lot of time. I use a DEM as raster layer
and country borders as vector layer on top of it.
The DEM covers two SRTM tiles.
Is there any way to speed the process up?
How do I best set the
On Tuesday 29 July 2008, Tim Michelsen wrote:
Hello,
what methodes are recommended to use within GRASS to calibrate a map
with by using geostatistical methods?
OK, normally the method depends on the kind of data. Therefore I may
give an example:
I have long-term meteorological mesurement
Tim Michelsen pisze:
Nevertheless, I cannot get around expressing my disappointment about
GRASS in this area.
* I cannot just point the program to a directory of shapefiles and
tell it import all. QGIS, gvSIG and ArcGIS can do this.
Well, true. I clearly remember how frustrating it was for
I just want to note something very tactfully mentioned below. That is,
all such algorithms are estimates of real watershed behavior. AFAICT,
r.watershed produces a very good estimate of these parameters and
dynamics. Nevertheless, we should be careful about trying to exactly
replicate its
On Tuesday 29 July 2008, Tim Michelsen wrote:
Hello,
for my current project I would like to create some postscript maps.
When I run ps.map it takes a lot of time. I use a DEM as raster layer
and country borders as vector layer on top of it.
The DEM covers two SRTM tiles.
Is there any way
GRASS'ers:
Although I don't echo Tim's dissapointment with GRASS (I use it
routinely and wouldn't trade it for the world), I do agree that GRASS is
more programmer-friendly than casual-user friendly environment. GRASS
reminds me, in many ways, of Arc/Info (pre-ArcMap, the 'ol command line
I am having a problem with the georectify tool that is probably
obvious to someone who is more familiar with the tool.
I have a jpg that I want to georectify into another mapset. I
imported that jpg into an xy mapset and then followed the steps in the
georectify tool help (I am using 6.3 on
Tim Michelsen ha scritto:
Nevertheless, I cannot get around expressing my disappointment about
GRASS in this area.
* I cannot just point the program to a directory of shapefiles and tell
it import all. QGIS, gvSIG and ArcGIS can do this.
So, use QGIS! ;)
Seriously, I understand your
Hy,
I'm afraid but I can't help you. But you can try r.soil.texture for your
area:
1. import in grass soils sample point with sand and clay atttributes;
2. interpolate sand a nd clay surface with one algorithm available in
grass (or with R interface for geostatistica analisys)
3. run
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