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Source: gdal
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Section: science
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Priority: extra
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Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
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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>
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Build-Depends: debhelper (>= 5.0.37.2), zlib1g-dev, netcdfg-dev,
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libtiff4-dev, libjasper-dev|libjasper-1.701-dev, libpng12-dev, libjpeg62-dev, libungif4-dev,
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libhdf4g-dev, libhdf5-serial-dev, libpq-dev | postgresql-dev, libxerces27-dev, unixodbc-dev (>=2.2.11),
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python-dev, python-numeric, doxygen, d-shlibs, libgeos-dev, dpatch, libmysqlclient15-dev, python-all-dev (>= 2.3.5-11),
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python-central (>=0.5), libcurl4-dev|libcurl-dev, libsqlite3-dev, libogdi3.2-dev
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Standards-Version: 3.7.2
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XS-Python-Version: all
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Package: libgdal1-1.4.0
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Section: libs
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Architecture: any
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Depends: ${shlibs:Depends}
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Recommends: proj
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Conflicts: libgdal1, libgdal1c2, libgdal1c2a, libgdal1-1.3.1, libgdal1-1.3.2
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Replaces: libgdal1, libgdal1c2, libgdal1c2a, libgdal1-1.3.1, libgdal1-1.3.2
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Description: Geospatial Data Abstraction Library
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GDAL is a translator library for raster geospatial data formats.
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As a library, it presents a single abstract data model to the
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calling application for all supported formats. The related OGR
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library (which lives within the GDAL source tree) provides
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a similar capability for simple features vector data.
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.
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GDAL supports 40+ popular data formats, including commonly used
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ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
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GIS and remote sensing software packages (ERDAS Imagine,
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ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
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sensing and scientific data distribution formats such as HDF,
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EOS FAST, NOAA L1B, NetCDF, FITS.
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.
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OGR library supports popular vector formats like ESRI Shapefile,
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TIGER data, S57, MapInfo File, DGN, GML and more.
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.
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This package contains shared library.
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.
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Homepage: http://www.gdal.org/
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Package: libgdal1-dev
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Section: libdevel
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Architecture: any
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Depends: libgdal1-1.4.0 (=${Source-Version}), libc6-dev, netcdfg-dev, libtiff4-dev,
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libjasper-dev|libjasper-1.701-dev, libpng12-dev, libjpeg62-dev, libungif4-dev, libhdf4g-dev,
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libpq-dev | postgresql-dev, libxerces27-dev, unixodbc-dev, libsqlite3-dev, libgeos-dev,
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libmysqlclient15-dev, libhdf5-serial-dev, libltdl3-dev, libcurl4-dev|libcurl-dev
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Suggests: libgdal-doc
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Provides: libgdal-dev
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Replaces: libgdal1-1.3.1-dev, libgdal1-1.3.2-dev
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Conflicts: libgdal1-1.3.2-dev, libgdal1-1.3.1-dev
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Description: Geospatial Data Abstraction Library - Development files
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GDAL is a translator library for raster geospatial data formats.
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As a library, it presents a single abstract data model to the
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calling application for all supported formats. The related OGR
|
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library (which lives within the GDAL source tree) provides
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a similar capability for simple features vector data.
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.
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GDAL supports 40+ popular data formats, including commonly used
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ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
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GIS and remote sensing software packages (ERDAS Imagine,
|
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ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
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sensing and scientific data distribution formats such as HDF,
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EOS FAST, NOAA L1B, NetCDF, FITS.
|
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.
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OGR library supports popular vector formats like ESRI Shapefile,
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TIGER data, S57, MapInfo File, DGN, GML and more.
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.
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This package contains the files needed to develop a software that
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will use the GDAL/OGR (headers, static objects, configuration script).
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.
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Homepage: http://www.gdal.org/
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Package: libgdal-doc
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Section: doc
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Architecture: all
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Suggests: libgdal1-1.4.0 (=${Source-Version})
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Description: Documentation for the Geospatial Data Abstraction Library
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GDAL is a translator library for raster geospatial data formats.
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As a library, it presents a single abstract data model to the
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calling application for all supported formats. The related OGR
|
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library (which lives within the GDAL source tree) provides
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a similar capability for simple features vector data.
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.
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GDAL supports 40+ popular data formats, including commonly used
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ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
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GIS and remote sensing software packages (ERDAS Imagine,
|
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ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
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sensing and scientific data distribution formats such as HDF,
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EOS FAST, NOAA L1B, NetCDF, FITS.
|
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.
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OGR library supports popular vector formats like ESRI Shapefile,
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TIGER data, S57, MapInfo File, DGN, GML and more.
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.
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This package contains documentation for GDAL/OGR API.
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.
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Homepage: http://www.gdal.org/#index_userdocs
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Package: gdal-bin
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Section: science
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Architecture: any
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Depends: ${shlibs:Depends}
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Description: Geospatial Data Abstraction Library - Utility programs
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GDAL is a translator library for raster geospatial data formats.
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As a library, it presents a single abstract data model to the
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calling application for all supported formats. The related OGR
|
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library (which lives within the GDAL source tree) provides
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a similar capability for simple features vector data.
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.
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GDAL supports 40+ popular data formats, including commonly used
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ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
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GIS and remote sensing software packages (ERDAS Imagine,
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ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
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sensing and scientific data distribution formats such as HDF,
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EOS FAST, NOAA L1B, NetCDF, FITS.
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.
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OGR library supports popular vector formats like ESRI Shapefile,
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TIGER data, S57, MapInfo File, DGN, GML and more.
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.
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This package contains utility programs, based on GDAL/OGR library,
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namely gdal_translate, gdalinfo, gdaladdo, gdalwarp, ogr2ogr, ogrinfo,
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ogrtindex.
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.
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Homepage: http://www.gdal.org/gdal_utilities.html
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Package: python-gdal
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Section: python
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Architecture: any
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Depends: ${shlibs:Depends}, ${python:Depends}, python-numeric
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Provides: ${python:Provides}
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XB-Python-Version: ${python:Versions}
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Description: Python bindings to the Geospatial Data Abstraction Library
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GDAL is a translator library for raster geospatial data formats.
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As a library, it presents a single abstract data model to the
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calling application for all supported formats. The related OGR
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library (which lives within the GDAL source tree) provides
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a similar capability for simple features vector data.
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.
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GDAL supports 40+ popular data formats, including commonly used
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ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
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GIS and remote sensing software packages (ERDAS Imagine,
|
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ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
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sensing and scientific data distribution formats such as HDF,
|
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EOS FAST, NOAA L1B, NetCDF, FITS.
|
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.
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OGR library supports popular vector formats like ESRI Shapefile,
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TIGER data, S57, MapInfo File, DGN, GML and more.
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.
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This package contains Python bindings for GDAL/OGR library.
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.
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Homepage: http://www.gdal.org/
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| 
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