Even, Miguel,
Even Rouault wrote:
Miguel,
I took the liberty to CC the gdal-dev mailing list as other may have the same
questions/interests or ideas to help you.
The migration of applications to Java was mainly an easy way to test the
GDAL/OGR Java API, but not an aim per se. So I've no rea
Here is an email thread that describes one possible reason you may not be
able to use GDAL from an ArcGIS 9.3.1 Python geoprocessing script:
http://lists.osgeo.org/pipermail/gdal-dev/2009-November/022661.html
Basically, to be able to load the GDAL DLL into an ArcGIS 9.3.x process, you
have to com
Discourse Maps wrote:
Greetings,
Is GDAL compatible with Windows 7?
At least with MinGW it is possible to compile and use GDAL in Win 7.
I've done that and also compiled the Perl bindings (and Perl itself)
succesfully in Win 7.
Specifically I am trying to use a Windows 7 machine (with ArcG
Miguel,
I took the liberty to CC the gdal-dev mailing list as other may have the same
questions/interests or ideas to help you.
The migration of applications to Java was mainly an easy way to test the
GDAL/OGR Java API, but not an aim per se. So I've no real plans to migrate
gdal_grid and gdal
Greetings,
Is GDAL compatible with Windows 7?
Specifically I am trying to use a Windows 7 machine (with ArcGIS 9.3.1 and
Python 2.5) to install the bindings.
GDAL 1.6 did not work, but perhaps the newest version of GDAL 1.7.x does??
Thanks!
___
Hello,
Has anyone used GDAL to convert a NetCDF file from a tripolar grid
(Murray 1996) to a more traditional longitude-latitude Cartesian grid?
I'm trying to visualize climate data from this site (which also has a
further explanation of the particular tripolar grid being used):
http://noma
On 2010-05-04 16:30:53 +0200, William Kyngesburye said:
Huh, did Enthought update their numpy also? If not, I'd expect the
sameproblems.
you expect the same problems for the situation
EPD: Numpy 1.4.0 and GDAL: Numpy 1.4.1
then for my previous situation:
EPD: Numpy 1.4.0 and GDAL: Numpy 1.3?
Huh, did Enthought update their numpy also? If not, I'd expect the same
problems.
On May 4, 2010, at 9:19 AM, K.-Michael Aye wrote:
> ahh, thank you very much! Thanks to your update using Numpy1.4.1 I
> successfully married your GDAL frameworks with EPD.
> and I lived happily ever after having
ahh, thank you very much! Thanks to your update using Numpy1.4.1 I
successfully married your GDAL frameworks with EPD.
and I lived happily ever after having all I needed.. (that is, until
the next cool software comes along. ;)
Have a great week!
Best regards,
Michael
On 2010-04-30 16:13:35 +02
Thanks, Jukka, that's exactly what I did. I used QGIS to test the
coordinates in both images.
Jan
On 05/04/10 15:08, Jukka Rahkonen wrote:
Jan Hartmann uva.nl> writes:
you can see a screenshot of the original image (right) and the
georeferenced one (left, rotated almost 90 degrees). Th
Jan Hartmann uva.nl> writes:
> you can see a screenshot of the original image (right) and the
> georeferenced one (left, rotated almost 90 degrees). The red markers
> with the number 3 inside them show one of the control points: to the
> right the scan pixel (5023/3421), to the left the targe
Thomas,
I would start by creating a colour table with each group containing the same
shade of grey. This will ease the polygonization by avoiding duplicates.
There will be three or four (RGB/RGBA) bands from the colour table but you
can just consider one band during polygonization.
On Tue, May 4
At:
http://mapserver.sara.nl/downloads/gdal_tps.png
you can see a screenshot of the original image (right) and the
georeferenced one (left, rotated almost 90 degrees). The red markers
with the number 3 inside them show one of the control points: to the
right the scan pixel (5023/3421), to t
Hello,
I try to get a dissolved shapefile out of a large raster file (Erdas
img) using Python. The raster file contains values from lets say 1 to
100. What I need is a shapefile that contains just five groups where
1-20 get the value 1, 21-40 the value 2 and so on.
What I've done so far are the f
[cross-posted on grass-user]
I have a data set in IMG format that has a GDALRasterAttributeTable element
which contains class name metadata that would be perfect for category names,
but I don't see a way to take advantage of it right away. First of all
there are problems with the file's georefer
Thanks Peter, good points. One further question: even if the
georeferenced map as a whole is distorted due to too few control points,
the control points *themselves* should always be projected to their
exact specified georeferenced location, right? At least that is wthat I
thought was the diffe
16 matches
Mail list logo
