gdal 1.7.3-6ubuntu2 source package in Ubuntu
Changelog
gdal (1.7.3-6ubuntu2) precise; urgency=low * Rebuild for Perl 5.14. -- Colin Watson <email address hidden> Wed, 16 Nov 2011 14:00:54 +0000
Upload details
- Uploaded by:
- Colin Watson
- Uploaded to:
- Precise
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- science
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
gdal_1.7.3.orig.tar.gz | 7.4 MiB | fbdb89356abad4e27894ebfbc865afb8b89cdb796f3a19d9b0347f9dd6e4cf4a |
gdal_1.7.3-6ubuntu2.debian.tar.gz | 90.4 KiB | 5eee29f947aa3bba3738517b54461ff409e8acd8a05d1a26672d9db82f7a2e8a |
gdal_1.7.3-6ubuntu2.dsc | 2.9 KiB | 10c45dd1dae1bb9fee0302d43e4dbbcccd7b5bcc9efa35a78607ab1fa2fe9687 |
Available diffs
- diff from 1.7.3-6ubuntu1 to 1.7.3-6ubuntu2 (320 bytes)
Binary packages built by this source
- gdal-bin: Geospatial Data Abstraction Library - Utility programs
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 utility programs, based on GDAL/OGR library,
namely gdal_translate, gdalinfo, gdaladdo, gdalwarp, ogr2ogr, ogrinfo,
ogrtindex.
- 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: Ruby bindings to the Geospatial Data Abstraction Library
This is a dummy package which depends on current ruby version
to support GDAL/OGR library binding upgrades.
- libgdal-ruby1.8: Ruby 1.8 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 ruby 1.8 bindings for GDAL/OGR library.
- libgdal1-1.7.0: 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.
- libgdal1-dev: Geospatial Data Abstraction Library - Development 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 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 files needed to develop a software that
will use the GDAL/OGR (headers, static objects, configuration script).
- 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.