Installing Geospatial libraries

GeoDjango uses and/or provides interfaces for the following open source geospatial libraries:

Program

Description

Required

Supported Versions

GEOS

Geometry Engine Open Source

Yes

3.12, 3.11, 3.10, 3.9, 3.8

PROJ

Cartographic Projections library

Yes (PostgreSQL and SQLite only)

9.x, 8.x, 7.x, 6.x

GDAL

Geospatial Data Abstraction Library

Yes

3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

GeoIP

IP-based geolocation library

No

2

PostGIS

Spatial extensions for PostgreSQL

Yes (PostgreSQL only)

3.4, 3.3, 3.2, 3.1, 3.0

SpatiaLite

Spatial extensions for SQLite

Yes (SQLite only)

5.1, 5.0, 4.3

Note that older or more recent versions of these libraries may also work totally fine with GeoDjango. Your mileage may vary.

Note

The GeoDjango interfaces to GEOS, GDAL, and GeoIP may be used independently of Django. In other words, no database or settings file required -- import them as normal from django.contrib.gis.

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

Please also consult platform-specific instructions if you are on macOS or Windows.

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.

Note

On Linux platforms, it may be necessary to run the ldconfig command after installing each library. For example:

$ sudo make install
$ sudo ldconfig

Note

macOS users must install Xcode in order to compile software from source.

GEOS

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., libgeos_c.so) directly from Python using ctypes.

First, download GEOS from the GEOS website and untar the source archive:

$ wget https://download.osgeo.org/geos/geos-X.Y.Z.tar.bz2
$ tar xjf geos-X.Y.Z.tar.bz2

Then step into the GEOS directory, create a build folder, and step into it:

$ cd geos-X.Y.Z
$ mkdir build
$ cd build

Then build and install the package:

$ cmake -DCMAKE_BUILD_TYPE=Release ..
$ cmake --build .
$ sudo cmake --build . --target install

Troubleshooting

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.

The most common solution is to properly configure your Library environment settings or set GEOS_LIBRARY_PATH in your settings.

If using a binary package of GEOS (e.g., on Ubuntu), you may need to Install binutils.

GEOS_LIBRARY_PATH

If your GEOS library is in a non-standard location, or you don't want to modify the system's library path then the GEOS_LIBRARY_PATH 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'

Note

The setting must be the full path to the C shared library; in other words you want to use libgeos_c.so, not libgeos.so.

See also My logs are filled with GEOS-related errors.

PROJ

PROJ is a library for converting geospatial data to different coordinate reference systems.

First, download the PROJ source code:

$ wget https://download.osgeo.org/proj/proj-X.Y.Z.tar.gz

... and datum shifting files (download proj-datumgrid-X.Y.tar.gz for PROJ < 7.x) [1]:

$ wget https://download.osgeo.org/proj/proj-data-X.Y.tar.gz

Next, untar the source code archive, and extract the datum shifting files in the data subdirectory. This must be done prior to configuration:

$ tar xzf proj-X.Y.Z.tar.gz
$ cd proj-X.Y.Z/data
$ tar xzf ../../proj-data-X.Y.tar.gz
$ cd ../..

For PROJ 9.x and greater, releases only support builds using CMake (see PROJ RFC-7).

To build with CMake ensure your system meets the build requirements. Then create a build folder in the PROJ directory, and step into it:

$ cd proj-X.Y.Z
$ mkdir build
$ cd build

Finally, configure, make and install PROJ:

$ cmake ..
$ cmake --build .
$ sudo cmake --build . --target install

GDAL

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 [2]. GEOS and PROJ should be installed prior to building GDAL.

First download the latest GDAL release version and untar the archive:

$ wget https://download.osgeo.org/gdal/X.Y.Z/gdal-X.Y.Z.tar.gz
$ tar xzf gdal-X.Y.Z.tar.gz

For GDAL 3.6.x and greater, releases only support builds using CMake. To build with CMake create a build folder in the GDAL directory, and step into it:

$ cd gdal-X.Y.Z
$ mkdir build
$ cd build

Finally, configure, make and install GDAL:

$ cmake ..
$ cmake --build .
$ sudo cmake --build . --target install

If you have any problems, please see the troubleshooting section below for suggestions and solutions.

Troubleshooting

Can't find GDAL library

When GeoDjango can't find the GDAL library, configure your Library environment settings or set GDAL_LIBRARY_PATH in your settings.

GDAL_LIBRARY_PATH

If your GDAL library is in a non-standard location, or you don't want to modify the system's library path then the GDAL_LIBRARY_PATH 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'

Footnotes

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