Some advice for getting / compiling SWAN:
You should definitely be able to build SWAN by yourself; it may take a
little while, but compiling code is a good skill to know. My best advice is
to slowly step through the directions (see the links that I gave you) to
first run the perl script to make
So, in short, I think that we could add the following at line 106 in main.c
for r.water.outlet (see
http://trac.osgeo.org/grass/browser/grass/trunk/raster/r.water.outlet/main.c
):
if (window.east 180 G_projection()==3){
E = E+360;
}
Or, if I understand G_adjust_easting(), then
Dear Hamish and all
I succeeded in the compilation from the source of grass.
lubuntu 11.04
grass6.4.1
Because the error was output with configure, final script is as follows.
./configure --with-tcltk-includes=/usr/include/tcl8.4/ --with-proj-share=/usr/
share/proj --with-sqlite --with-geos
Hello,
There are 2 packages for GRASS 6.4 on FILES page in wgug.org web service
(http://www.wgug.org/index.php?option=com_contentview=articleid=56Itemid=9):
- ann.* v.0.2 - set of modules (in Python) to use FANN (Fast Artificial Neural
Network) library with GRASS raster layers;
-
SOLVED:
Built and installed GRASS 6.4.2 from svn, and added a line as noted below;
inserted at line 101 in 6.4.2 (see surrounding lines for context).
Recompiled r.water.outlet and it works like a charm.
It is totally obvious that this is not an issue that anyone on this list
knows/cares about,
Hi Andy,
I think it's great that you've fixed the bug. I read your emails with
interest but, as it's not my area of expertise, I didn't write back. As far
as changes to the GRASS source goes, I do think that the grass-dev list
would be the right place to take up such issues. You'd have my
OK - great!
Didn't mean the the knows/cares in a bad way - more a matter of fact one
:). I figured that when I didn't get a response, it was because no one had a
solution off the top of their head, so I'd have to do it.
Thanks!
Andy
On Sat, Jul 2, 2011 at 12:12 PM, Daniel Lee
Daniel Lee wrote:
I've just moved a lot of data that we're working on onto a NAS server so
that two computers could chew up the same data simultaneously. After moving
everything onto the server, I copied the relevant data to the local hard
drive of the computer that should be doing the
