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277 lines
8.8 KiB
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277 lines
8.8 KiB
Plaintext
===============================
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Installing Geospatial libraries
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===============================
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GeoDjango uses and/or provides interfaces for the following open source
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geospatial libraries:
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======================== ==================================== ================================ ================================================
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Program Description Required Supported Versions
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======================== ==================================== ================================ ================================================
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:doc:`GEOS <../geos>` Geometry Engine Open Source Yes 3.11, 3.10, 3.9, 3.8, 3.7, 3.6
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`PROJ`_ Cartographic Projections library Yes (PostgreSQL and SQLite only) 9.x, 8.x, 7.x, 6.x, 5.x, 4.x
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:doc:`GDAL <../gdal>` Geospatial Data Abstraction Library Yes 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.4, 2.3, 2.2
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:doc:`GeoIP <../geoip2>` IP-based geolocation library No 2
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`PostGIS`__ Spatial extensions for PostgreSQL Yes (PostgreSQL only) 3.3, 3.2, 3.1, 3.0, 2.5
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`SpatiaLite`__ Spatial extensions for SQLite Yes (SQLite only) 5.0, 4.3
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======================== ==================================== ================================ ================================================
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Note that older or more recent versions of these libraries *may* also work
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totally fine with GeoDjango. Your mileage may vary.
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..
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Libs release dates:
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GEOS 3.6.0 2016-10-25
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GEOS 3.7.0 2018-09-10
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GEOS 3.8.0 2019-10-10
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GEOS 3.9.0 2020-12-14
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GEOS 3.10.0 2021-10-20
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GEOS 3.11.0 2022-07-01
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GDAL 2.2.0 2017-05
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GDAL 2.3.0 2018-05
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GDAL 2.4.0 2018-12
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GDAL 3.0.0 2019-05
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GDAL 3.1.0 2020-05-07
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GDAL 3.2.0 2020-11-02
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GDAL 3.3.0 2021-05-03
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GDAL 3.4.0 2021-11-04
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GDAL 3.5.0 2022-05-13
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GDAL 3.6.0 2022-11-03
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PostGIS 2.5.0 2018-09-23
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PostGIS 3.0.0 2019-10-20
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PostGIS 3.1.0 2020-12-18
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PostGIS 3.2.0 2021-12-18
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PostGIS 3.3.0 2022-08-27
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PROJ 9.0.0 2022-03-01
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PROJ 8.0.0 2021-03-01
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PROJ 8.0.0 2021-03-01
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PROJ 7.0.0 2020-02-25
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PROJ 6.0.0 2019-02-26
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PROJ 5.0.0 2018-03-01
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PROJ 4.9.0 2014-09-14
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SpatiaLite 4.3.0 2015-09-07
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SpatiaLite 5.0.0 2020-08-23
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.. note::
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The GeoDjango interfaces to GEOS, GDAL, and GeoIP may be used
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independently of Django. In other words, no database or settings file
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required -- import them as normal from :mod:`django.contrib.gis`.
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.. _PROJ: https://proj.org/
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__ https://postgis.net/
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__ https://www.gaia-gis.it/gaia-sins/
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On Debian/Ubuntu, you are advised to install the following packages which will
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install, directly or by dependency, the required geospatial libraries:
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.. code-block:: console
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$ sudo apt-get install binutils libproj-dev gdal-bin
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Please also consult platform-specific instructions if you are on :ref:`macos`
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or :ref:`windows`.
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.. _build_from_source:
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Building from source
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====================
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When installing from source on UNIX and GNU/Linux systems, please follow
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the installation instructions carefully, and install the libraries in the
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given order. If using MySQL or Oracle as the spatial database, only GEOS
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is required.
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.. note::
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On Linux platforms, it may be necessary to run the ``ldconfig`` command
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after installing each library. For example::
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$ sudo make install
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$ sudo ldconfig
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.. note::
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macOS users must install `Xcode`_ in order to compile software from source.
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.. _Xcode: https://developer.apple.com/xcode/
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.. _geosbuild:
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GEOS
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----
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GEOS is a C++ library for performing geometric operations, and is the default
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internal geometry representation used by GeoDjango (it's behind the "lazy"
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geometries). Specifically, the C API library is called (e.g., ``libgeos_c.so``)
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directly from Python using ctypes.
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First, download GEOS from the GEOS website and untar the source archive::
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$ wget https://download.osgeo.org/geos/geos-X.Y.Z.tar.bz2
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$ tar xjf geos-X.Y.Z.tar.bz2
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Then step into the GEOS directory, create a ``build`` folder, and step into
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it::
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$ cd geos-X.Y.Z
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$ mkdir build
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$ cd build
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Then build and install the package::
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$ cmake -DCMAKE_BUILD_TYPE=Release ..
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$ cmake --build .
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$ sudo cmake --build . --target install
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Troubleshooting
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~~~~~~~~~~~~~~~
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Can't find GEOS library
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^^^^^^^^^^^^^^^^^^^^^^^
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When GeoDjango can't find GEOS, this error is raised:
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.. code-block:: text
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ImportError: Could not find the GEOS library (tried "geos_c"). Try setting GEOS_LIBRARY_PATH in your settings.
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The most common solution is to properly configure your :ref:`libsettings` *or* set
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:ref:`geoslibrarypath` in your settings.
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If using a binary package of GEOS (e.g., on Ubuntu), you may need to :ref:`binutils`.
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.. _geoslibrarypath:
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``GEOS_LIBRARY_PATH``
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^^^^^^^^^^^^^^^^^^^^^
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If your GEOS library is in a non-standard location, or you don't want to
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modify the system's library path then the :setting:`GEOS_LIBRARY_PATH`
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setting may be added to your Django settings file with the full path to the
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GEOS C library. For example::
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GEOS_LIBRARY_PATH = '/home/bob/local/lib/libgeos_c.so'
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.. note::
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The setting must be the *full* path to the **C** shared library; in
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other words you want to use ``libgeos_c.so``, not ``libgeos.so``.
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See also :ref:`My logs are filled with GEOS-related errors <geos-exceptions-in-logfile>`.
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.. _proj4:
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PROJ
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----
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`PROJ`_ is a library for converting geospatial data to different coordinate
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reference systems.
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First, download the PROJ source code::
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$ wget https://download.osgeo.org/proj/proj-X.Y.Z.tar.gz
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... and datum shifting files (download ``proj-datumgrid-X.Y.tar.gz`` for
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PROJ < 7.x) [#]_::
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$ wget https://download.osgeo.org/proj/proj-data-X.Y.tar.gz
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Next, untar the source code archive, and extract the datum shifting files in the
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``data`` subdirectory (use ``nad`` subdirectory for PROJ < 6.x). This must be
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done *prior* to configuration::
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$ tar xzf proj-X.Y.Z.tar.gz
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$ cd proj-X.Y.Z/data
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$ tar xzf ../../proj-data-X.Y.tar.gz
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$ cd ../..
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For PROJ 9.x and greater, releases only support builds using ``CMake`` (see
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`PROJ RFC-7`_).
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To build with ``CMake`` ensure your system meets the `build requirements`_.
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Then create a ``build`` folder in the PROJ directory, and step into it::
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$ cd proj-X.Y.Z
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$ mkdir build
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$ cd build
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Finally, configure, make and install PROJ::
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$ cmake ..
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$ cmake --build .
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$ sudo cmake --build . --target install
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.. _PROJ RFC-7: https://proj.org/community/rfc/rfc-7.html#rfc7
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.. _build requirements: https://proj.org/install.html#build-requirements
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.. _gdalbuild:
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GDAL
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----
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`GDAL`__ is an excellent open source geospatial library that has support for
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reading most vector and raster spatial data formats. Currently, GeoDjango only
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supports :doc:`GDAL's vector data <../gdal>` capabilities [#]_.
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:ref:`geosbuild` and :ref:`proj4` should be installed prior to building GDAL.
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First download the latest GDAL release version and untar the archive::
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$ wget https://download.osgeo.org/gdal/X.Y.Z/gdal-X.Y.Z.tar.gz
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$ tar xzf gdal-X.Y.Z.tar.gz
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For GDAL 3.6.x and greater, releases only support builds using ``CMake``. To
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build with ``CMake`` create a ``build`` folder in the GDAL directory, and step
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into it::
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$ cd gdal-X.Y.Z
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$ mkdir build
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$ cd build
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Finally, configure, make and install GDAL::
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$ cmake ..
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$ cmake --build .
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$ sudo cmake --build . --target install
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If you have any problems, please see the troubleshooting section below for
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suggestions and solutions.
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__ https://gdal.org/
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.. _gdaltrouble:
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Troubleshooting
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~~~~~~~~~~~~~~~
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Can't find GDAL library
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^^^^^^^^^^^^^^^^^^^^^^^
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When GeoDjango can't find the GDAL library, configure your :ref:`libsettings`
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*or* set :ref:`gdallibrarypath` in your settings.
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.. _gdallibrarypath:
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``GDAL_LIBRARY_PATH``
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^^^^^^^^^^^^^^^^^^^^^
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If your GDAL library is in a non-standard location, or you don't want to
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modify the system's library path then the :setting:`GDAL_LIBRARY_PATH`
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setting may be added to your Django settings file with the full path to
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the GDAL library. For example::
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GDAL_LIBRARY_PATH = '/home/sue/local/lib/libgdal.so'
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.. rubric:: Footnotes
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.. [#] The datum shifting files are needed for converting data to and from
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certain projections.
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For example, the PROJ string for the `Google projection (900913 or 3857)
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<https://spatialreference.org/ref/sr-org/6864/prj/>`_ requires the
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``null`` grid file only included in the extra datum shifting files.
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It is easier to install the shifting files now, then to have debug a
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problem caused by their absence later.
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.. [#] Specifically, GeoDjango provides support for the `OGR
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<https://gdal.org/user/vector_data_model.html>`_ library, a component of
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GDAL.
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