GDAL.jl

Julia wrapper for GDAL - Geospatial Data Abstraction Library. This package is a binding to the C API of GDAL/OGR. It provides only a C style usage, where resources must be closed manually, and datasets are pointers.

Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl.

Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly.

Installation

This package is registered, so add it using Pkg. This will also download GDAL binaries created in Yggdrasil.

pkg> add GDAL

To check if it is installed correctly, you could run the test suite with:

pkg> test GDAL

Documentation

Docstrings are automatically inserted from the GDAL documentation. Note that these are written for the C API, so function names and argument type names will differ.

julia> using GDAL

help?> GDAL.ogr_g_creategeometry
  OGR_G_CreateGeometry(OGRwkbGeometryType eGeometryType) -> OGRGeometryH

  Create an empty geometry of desired type.

  Parameters
  ––––––––––––

    •    eGeometryType: the type code of the geometry to be created.

  Returns
  –––––––––

  handle to the newly create geometry or NULL on failure. Should be freed with OGRGDestroyGeometry() after use.

Further usage documentation is not yet available, but the files test/tutorial_raster.jl and test/tutorial_vector.jl should provide a good hint based on the API tutorials from GDAL.org.

The bulk of this package is generated automatically by the scripts under gen/.

Using the GDAL and OGR utilities

The provided GDAL installation also contains the commonly used utilities such as gdal_translate and ogr2ogr. They can be called from Julia like so:

using GDAL_jll

# list information about a raster dataset
run(`$(gdalinfo_path()) path/to/raster-file`)

# convert raster data between different formats
run(`$(gdal_translate_path()) -of COG input.asc output.tif`)

# list information about an OGR-supported data source
run(`$(ogrinfo_path()) path/to/vector-file`)

# convert simple features data between file formats
run(`$(ogr2ogr_path()) -f FlatGeobuf output.fgb input.shp`)

The <util>_path functions are exported from the GDAL_jll package. If you only wish to run the utilities, that package will have all you need. If you are using the GDAL package, they are also available as GDAL.<util>_path. A list of the available utilities can be found here. Documentation for them is available on gdal.org/programs. Note that programs implemented in Python (ending in .py) are not available, since those would require a Python installation.

Since GDAL 2.1's RFC59.1 most utilities are also available as functions in the library, they are implemented here and tested here. If these are used you can avoid the need for calling the binaries.

If you want to use these utilities from outside julia, note that this will not work unless you set two things:

1. The environment variable GDAL_DATA must be set to the value returned in julia by GDAL.GDAL_DATA[].
2. Julia's Sys.BINDIR must be in your path.

Inside of julia (2) is always the case, and (1) happens on loading the GDAL module, in its __init__ function.

Missing driver to support a format

If you get an error such as the one below:

GDALError (CE_Failure, code 6):
    The <...> driver needs to be compiled to support <...>

This means that the GDAL binaries you are using, which normally come from the Yggdrasil community build tree, are not compiled with support for the format or feature you need. GDAL is a large library with many optional dependencies which allow support for more formats. Currently the amount of formats supported is still limited, but will grow over time. Lists of available formats can be found here for rasters and here for vectors. If you need support for another format, consider making an issue in this repository. Many formats need external libraries as added dependencies. This means an Yggdrasil build also needs to be available for that library, and added as a dependency. See issue #65 for a discussion on which new drivers should be prioritized.

In general GDAL format support will be the same across platforms. HDF5 and netCDF are the exception to this rule, since they are only available on the major platforms for now.