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Source: gdal
Section: science
Priority: extra
Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Uploaders: Steve Halasz <debian@adkgis.org>, Francesco Paolo Lovergine <frankie@debian.org>, Petter Reinholdtsen <pere@debian.org>, Fabio Tranchitella <kobold@debian.org>, Paul Wise <pabs@debian.org>
Build-Depends: debhelper (>= 5.0.37.2), zlib1g-dev, libcfitsio-dev, netcdfg-dev, libtiff4-dev, libjasper-1.701-dev, libpng12-dev, libjpeg62-dev, libungif4-dev, libhdf4g-dev, libpq-dev | postgresql-dev, libxerces27-dev, unixodbc-dev (>= 2.2.11), libsqlite0-dev, python-dev, python-numeric, doxygen, d-shlibs, libgeos-dev, dpatch, libmysqlclient15-dev, python-all-dev (>= 2.3.5-11), python-central (>= 0.5)
Standards-Version: 3.7.2
XS-Python-Version: all
Package: libgdal1-1.3.2
Section: libs
Architecture: any
Depends: ${shlibs:Depends}
Recommends: proj
Conflicts: libgdal1, libgdal1c2, libgdal1c2a, libgdal1-1.3.1
Replaces: libgdal1, libgdal1c2, libgdal1c2a, libgdal1-1.3.1
Description: Geospatial Data Abstraction Library
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains shared library.
.
Homepage: http://www.gdal.org/
Package: libgdal1-1.3.2-dev
Section: libdevel
Architecture: any
Depends: libgdal1-1.3.2 (=${Source-Version}), libc6-dev, libcfitsio-dev, netcdfg-dev, libtiff4-dev, libjasper-1.701-dev, libpng12-dev, libjpeg62-dev, libungif4-dev, libhdf4g-dev, libpq-dev | postgresql-dev, libxerces27-dev, unixodbc-dev, libsqlite0-dev, libgeos-dev, libmysqlclient15-dev
Suggests: libgdal-doc
Provides: libgdal-dev
Replaces: libgdal1-dev, libgdal1-1.3.1-dev
Conflicts: libgdal-dev, libgdal1-dev, libgdal1-1.3.1-dev
Description: 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 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 files needed to develop a software that
will use the GDAL/OGR (headers, static objects, configuration script).
.
Homepage: http://www.gdal.org/
Package: libgdal-doc
Section: doc
Architecture: all
Suggests: libgdal1-1.3.2 (=${Source-Version})
Description: 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.
.
Homepage: http://www.gdal.org/#index_userdocs
Package: gdal-bin
Section: science
Architecture: any
Depends: ${shlibs:Depends}
Description: 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.
.
Homepage: http://www.gdal.org/gdal_utilities.html
Package: python-gdal
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${python:Depends}, python-numeric
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: 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.
.
Homepage: http://www.gdal.org/
|
