Ubuntu
gdal package

gdal 1.9.0-3.1ubuntu4 source package in Ubuntu

Changelog

gdal (1.9.0-3.1ubuntu4) saucy; urgency=low

  * debian/patches/track_libpoppler25_abi_changes:
    - updated for the poppler 0.24 changes
 -- Sebastien Bacher <email address hidden>   Wed, 31 Jul 2013 11:35:41 +0200

Upload details

Uploaded by:
Sebastien Bacher
Uploaded to:
Saucy
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Low Urgency

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Downloads

File Size SHA-256 Checksum
gdal_1.9.0.orig.tar.gz 8.9 MiB cb8e8116651fc509902899827cacbacb98e47118566e47e17bf5027688de84c4
gdal_1.9.0-3.1ubuntu4.debian.tar.gz 1.2 MiB c50fa21bd1ae05b15616686fb0f40af877aa69db9d320fdf91ac7d3036435d4c
gdal_1.9.0-3.1ubuntu4.dsc 2.3 KiB 3338b3c911c4a883af34d1988e439591b96e9c524412709f4ff931185b36de80

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Binary packages built by this source

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

No description available for gdal-bin in ubuntu saucy.

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

No description available for libgdal-dev in ubuntu saucy.

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-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-ruby: No summary available for libgdal-ruby in ubuntu trusty.

No description available for libgdal-ruby in ubuntu trusty.

libgdal-ruby1.8: No summary available for libgdal-ruby1.8 in ubuntu saucy.

No description available for libgdal-ruby1.8 in ubuntu saucy.

libgdal1: No summary available for libgdal1 in ubuntu saucy.

No description available for libgdal1 in ubuntu saucy.

libgdal1-dev: Geospatial Data Abstraction Library - Transitional package

 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 is a transitional dummy package that depends on libgdal-dev
 and is used to allow versioned build dependencies to work in
 any build environment.

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.