Hello
I'm attempting to install gdal-1.6.2 but when I try to "make" I get the
error:
/usr/local/src/gdal-1.6.2/frmts/o/aaigriddataset.o: No such file or
directory
On a guess, I tried ./configure --without-AAIGrid but this did not help.
Any advice please? Many tahnks
Alan Hale
--
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John Cartwright wrote:
Hello All,
I'm trying to compile in hdf5 support by specifying
"--with-hdf5=/usr/local/contrib" to the configure script. The hdf 5
libraries are located in /usr/local/contrib/lib. However, configure
tells me:
configure: error: HDF5 support requested with arg /usr/local/
Hello All,
I'm trying to compile in hdf5 support by specifying
"--with-hdf5=/usr/local/contrib" to the configure script. The hdf 5
libraries are located in /usr/local/contrib/lib. However, configure
tells me:
configure: error: HDF5 support requested with arg /usr/local/contrib,
but no hdf5 lib
The need for a new vector file format has been discussed many times with no
action initiated by the open source community on what to do.
ESRI has said they will do so, but it's been several
years since they first announced it and when it is finally is released
there is no guarantee it will be u
Selon Even Rouault :
Hmm, of course, read lyr2 = ds.GetLayerByName('testhuge2') in the last snippet.
> Selon Matthieu Rigal :
>
> Matthieu,
>
> I've been able to reproduce the behaviour you've observed by running the
> following snippet :
>
> >>>
> import ogr
>
> ds = ogr.Open('PG:dbname=autotest
Selon Matthieu Rigal :
Matthieu,
I've been able to reproduce the behaviour you've observed by running the
following snippet :
>>>
import ogr
ds = ogr.Open('PG:dbname=autotest')
lyr = ds.GetLayerByName('testhuge')
feat = lyr.GetNextFeature()
count = 0
while feat is not None:
count = count +
I'd like to do some segment-wise statistics (mean, standard deviation, etc.)
on rasters.
The segments will be defined by polygons in a shapefile.
I need to do this in a Python script, so anything without a GUI is fine.
Is there a solution I can use?
If not, I'd appreciate any suggestions or ide
Hello World,
Apt.py v0.0-2, the command line osgeo4w installer, is now available. It
can be found under Commandline Utilities in the GUI setup.exe installer
or from svn.
http://download.osgeo.org/osgeo4w/ "OSGeo4W Installer"
http://trac.osgeo.org/osgeo4w/browser/trunk/apt
Matthieu,
I looked at the OGR's pg driver code. It is retrieving the data 500
records at a time using cursors. Can you provide some more lines from
the log files, before and after the given two lines?
In the mean time here is a quick and dirty solution. Recompile gdal
after setting CURSOR_PAGE to
Chaitanya,
I looked into the log files and could see the following lines :
2009-10-09 15:23:56 CEST lua_db lua_admin STATEMENT: FETCH 500 in
OGRPGResultLayerReader
2009-10-09 15:23:56 CEST lua_db lua_admin STATEMENT: CLOSE
OGRPGResultLayerReader
So it is OGR which is requesting only 500 featu
Matthieu,
GetFeatureCount in postgres driver is implemented with the COUNT()
function. (
http://trac.osgeo.org/gdal/browser/trunk/gdal/ogr/ogrsf_frmts/pg/ogrpgtablelayer.cpp#L1895
) So it was never returning more than 500 features. IMHO, the number
500 looks like an intentional limitation, probab
Hi people,
I recently discovered a strange behaviour which was not happening before, I
think...
I'm using Python 2.5 with GDAL/OGR 1.6 and PGsql 8.3 on Linux.
I am reading a table containing 858 features with several columns and
geometry.
I first do a SELECT on the table and the GetFeatureCount
Hiya,
2009/10/9 Peder Axensten
> I'd like to do some segment-wise statistics (mean, standard deviation,
> etc.) on rasters.
> The segments will be defined by polygons in a shapefile.
> I need to do this in a Python script, so anything without a GUI is fine.
>
> Is there a solution I can use?
>
Go'day,
I'd like to do some segment-wise statistics (mean, standard deviation,
etc.) on rasters.
The segments will be defined by polygons in a shapefile.
I need to do this in a Python script, so anything without a GUI is fine.
Is there a solution I can use?
If not, I'd appreciate any suggest
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