gdal 2.2.3+dfsg-2 source package in Ubuntu

Changelog

gdal (2.2.3+dfsg-2) unstable; urgency=medium

  * Update spelling-errors.patch to also fix 'Altitude' typo.
    Thanks to pabs for spotting this one.
  * Update C++ symbols files.
  * Move from experimental to unstable.

 -- Bas Couwenberg <email address hidden>  Tue, 06 Feb 2018 07:39:14 +0100

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Uploaded by:
Debian GIS Project
Uploaded to:
Sid
Original maintainer:
Debian GIS Project
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe science

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File Size SHA-256 Checksum
gdal_2.2.3+dfsg-2.dsc 3.3 KiB 1c773c32fc34610ef9ae19343476186423679f0ebe759c3b47664cb3205021f7
gdal_2.2.3+dfsg.orig.tar.xz 8.4 MiB 3f99d84541ec6f174da137166c1002b50ed138dde51d05180ad5c8dd49721057
gdal_2.2.3+dfsg-2.debian.tar.xz 174.6 KiB a545f89efa6815eb5d529f2114e9a04a4ba61df233752541369cee92009fc9c0

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Binary packages built by this source

gdal-bin: No summary available for gdal-bin in ubuntu cosmic.

No description available for gdal-bin in ubuntu cosmic.

gdal-bin-dbgsym: No summary available for gdal-bin-dbgsym in ubuntu cosmic.

No description available for gdal-bin-dbgsym in ubuntu cosmic.

gdal-data: Geospatial Data Abstraction Library - Data files

 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains the GDAL data files.

libgdal-dev: No summary available for libgdal-dev in ubuntu cosmic.

No description available for libgdal-dev in ubuntu cosmic.

libgdal-doc: Documentation for the Geospatial Data Abstraction Library

 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains documentation for GDAL/OGR API.

libgdal-java: No summary available for libgdal-java in ubuntu cosmic.

No description available for libgdal-java in ubuntu cosmic.

libgdal-java-dbgsym: No summary available for libgdal-java-dbgsym in ubuntu cosmic.

No description available for libgdal-java-dbgsym in ubuntu cosmic.

libgdal-perl: Perl bindings to the Geospatial Data Abstraction Library

 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains Perl bindings for GDAL/OGR library.

libgdal-perl-dbgsym: debug symbols for libgdal-perl
libgdal-perl-doc: Documentation for GDAL Perl bindings

 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains the documentation of the Perl bindings for
 GDAL/OGR library.

libgdal20: Geospatial Data Abstraction Library

 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports many popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains the shared library.

libgdal20-dbgsym: debug symbols for libgdal20
python-gdal: Python bindings to the Geospatial Data Abstraction Library

 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains Python bindings for GDAL/OGR library and
 a set of additional command line tools.

python-gdal-dbgsym: debug symbols for python-gdal
python3-gdal: Python 3 bindings to the Geospatial Data Abstraction Library

 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains Python 3 bindings for GDAL/OGR library.

python3-gdal-dbgsym: debug symbols for python3-gdal