GDAL is a library for reading and writing raster geospatial data
formats, and is released under an X/MIT style Open Source license by
the Open Source Geospatial Foundation. As a library, it presents a
single abstract data model to the calling application for all
supported formats. It may also be built with a variety of useful
command-line utilities for data translation and processing.
The related OGR library (which is part of the GDAL source tree)
provides a similar capability for simple features vector data.
The following optional requirements are detected automatically:
cfitsio, freexl, hdf, hdf5, libkml, libwebp, netcdf,
postgresql, python3, xerces-c
To enable OpenCL GPU-accelerated performance, specify the option
OPENCL=yes (requires opencl-headers to build, and either nvidia-driver
or amd-app-sdk with suitable GPU hardware to run).
This requires: geos, proj, python3
Maintained by: David Spencer
Keywords: GIS,translator,geospatial data formats,OGR
ChangeLog: gdal
Homepage:
https://www.gdal.org/
Download SlackBuild:
gdal.tar.gz
gdal.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
gdal.SlackBuild |
gdal.info |
slack-desc |
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