Installing Geospatial libraries¶
GeoDjango uses and/or provides interfaces for the following open source geospatial libraries:
|GEOS||Geometry Engine Open Source||Yes||3.3, 3.2, 3.1|
|PROJ.4||Cartographic Projections library||Yes (PostgreSQL and SQLite only)||4.8, 4.7, 4.6, 4.5, 4.4|
|GDAL||Geospatial Data Abstraction Library||No (but, required for SQLite)||1.10, 1.9, 1.8, 1.7, 1.6|
|GeoIP||IP-based geolocation library||No||1.4|
|PostGIS||Spatial extensions for PostgreSQL||Yes (PostgreSQL only)||2.1, 2.0, 1.5, 1.4, 1.3|
|SpatiaLite||Spatial extensions for SQLite||Yes (SQLite only)||4.1, 4.0, 3.0, 2.4, 2.3|
While GDAL is technically not required, it is recommended. Important features of GeoDjango (including the LayerMapping data import utility, geometry reprojection, and the geographic admin) depend on its functionality.
The GeoDjango interfaces to GEOS, GDAL, and GeoIP may be used
independently of Django. In other words, no database or settings file
required – just import them as normal from
On Debian/Ubuntu, you are advised to install the following packages which will install, directly or by dependency, the required geospatial libraries:
$ sudo apt-get install binutils libproj-dev gdal-bin
Optional packages to consider:
libgeoip1: for GeoIP support
gdal-bin: for GDAL command line programs like
python-gdalfor GDAL’s own Python bindings – includes interfaces for raster manipulation
Building from source¶
When installing from source on UNIX and GNU/Linux systems, please follow the installation instructions carefully, and install the libraries in the given order. If using MySQL or Oracle as the spatial database, only GEOS is required.
On Linux platforms, it may be necessary to run the
command after installing each library. For example:
$ sudo make install $ sudo ldconfig
OS X users are required to install Apple Developer Tools in order to compile software from source. This is typically included on your OS X installation DVDs.
GEOS is a C++ library for performing geometric operations, and is the default
internal geometry representation used by GeoDjango (it’s behind the “lazy”
geometries). Specifically, the C API library is called (e.g.,
directly from Python using ctypes.
First, download GEOS 3.3.8 from the refractions Web site and untar the source archive:
$ wget http://download.osgeo.org/geos/geos-3.3.8.tar.bz2 $ tar xjf geos-3.3.8.tar.bz2
Next, change into the directory where GEOS was unpacked, run the configure script, compile, and install:
$ cd geos-3.3.8 $ ./configure $ make $ sudo make install $ cd ..
Can’t find GEOS library¶
When GeoDjango can’t find GEOS, this error is raised:
ImportError: Could not find the GEOS library (tried "geos_c"). Try setting GEOS_LIBRARY_PATH in your settings.
If using a binary package of GEOS (e.g., on Ubuntu), you may need to Install binutils.
If your GEOS library is in a non-standard location, or you don’t want to
modify the system’s library path then the
setting may be added to your Django settings file with the full path to the
GEOS C library. For example:
GEOS_LIBRARY_PATH = '/home/bob/local/lib/libgeos_c.so'
The setting must be the full path to the C shared library; in
other words you want to use
PROJ.4 is a library for converting geospatial data to different coordinate reference systems.
First, download the PROJ.4 source code and datum shifting files :
$ wget http://download.osgeo.org/proj/proj-4.8.0.tar.gz $ wget http://download.osgeo.org/proj/proj-datumgrid-1.5.tar.gz
Next, untar the source code archive, and extract the datum shifting files in the
nad subdirectory. This must be done prior to configuration:
$ tar xzf proj-4.8.0.tar.gz $ cd proj-4.8.0/nad $ tar xzf ../../proj-datumgrid-1.5.tar.gz $ cd ..
Finally, configure, make and install PROJ.4:
$ ./configure $ make $ sudo make install $ cd ..
GDAL is an excellent open source geospatial library that has support for reading most vector and raster spatial data formats. Currently, GeoDjango only supports GDAL’s vector data capabilities . GEOS and PROJ.4 should be installed prior to building GDAL.
First download the latest GDAL release version and untar the archive:
$ wget http://download.osgeo.org/gdal/gdal-1.9.2.tar.gz $ tar xzf gdal-1.9.2.tar.gz $ cd gdal-1.9.2
Configure, make and install:
$ ./configure $ make # Go get some coffee, this takes a while. $ sudo make install $ cd ..
Because GeoDjango has its own Python interface, the preceding instructions
do not build GDAL’s own Python bindings. The bindings may be built by
--with-python flag when running
GDAL/OGR In Python for more information on GDAL’s bindings.
If you have any problems, please see the troubleshooting section below for suggestions and solutions.
Can’t find GDAL library¶
When GeoDjango can’t find the GDAL library, the
will be false:
>>> from django.contrib.gis import gdal >>> gdal.HAS_GDAL False
If your GDAL library is in a non-standard location, or you don’t want to
modify the system’s library path then the
setting may be added to your Django settings file with the full path to
the GDAL library. For example:
GDAL_LIBRARY_PATH = '/home/sue/local/lib/libgdal.so'
Can’t find GDAL data files (
When installed from source, GDAL versions 1.5.1 and below have an autoconf bug that places data in the wrong location.  This can lead to error messages like this:
ERROR 4: Unable to open EPSG support file gcs.csv. ... OGRException: OGR failure.
The solution is to set the
GDAL_DATA environment variable to the location of the
GDAL data files before invoking Python (typically
gdal-config --datadir to find out). For example:
$ export GDAL_DATA=`gdal-config --datadir` $ python manage.py shell
If using Apache, you may need to add this environment variable to your configuration file:
SetEnv GDAL_DATA /usr/local/share
|||The datum shifting files are needed for converting data to and from
For example, the PROJ.4 string for the Google projection (900913 or 3857) requires the
|||Specifically, GeoDjango provides support for the OGR library, a component of GDAL.|
|||See GDAL ticket #2382.|