Source: gdal Section: science Priority: extra Maintainer: Debian GIS Project Uploaders: Francesco Paolo Lovergine Build-Depends: debhelper (>= 7), zlib1g-dev, libnetcdf-dev, libjasper-dev, libpng12-dev, libjpeg62-dev, libgif-dev, libhdf4g-dev, libhdf5-serial-dev (>= 1.6.6), libpq-dev, libxerces-c2-dev, unixodbc-dev (>= 2.2.11), python-dev, python-numpy, doxygen, d-shlibs, libgeos-dev, dpatch, libmysqlclient-dev, python-all-dev (>= 2.3.5-11~), python-central (>= 0.5), libcurl4-gnutls-dev, libsqlite3-dev, libogdi3.2-dev, ruby, ruby1.8-dev, chrpath, swig, libtool (>= 1.5.24-2), patch, libexpat1-dev, libproj-dev Standards-Version: 3.8.3 XS-Python-Version: all Homepage: http://www.gdal.org/ Vcs-Browser: http://svn.debian.org/viewsvn/pkg-grass/packages/gdal/trunk Vcs-Svn: svn://svn.debian.org/svn/pkg-grass/packages/gdal/trunk Package: libgdal1-1.6.0 Section: libs Architecture: any Depends: ${shlibs:Depends} Recommends: proj-bin Description: Geospatial Data Abstraction Library GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data. . GDAL supports many popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS. . OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more. . This package contains the shared library. Package: libgdal1-dev Section: libdevel Architecture: any Depends: libgdal1-1.6.0 (=${binary:Version}), libc6-dev, libnetcdf-dev, libjasper-dev|libjasper-1.701-dev, libpng12-dev, libjpeg62-dev, libgif-dev, libhdf4g-dev, libpq-dev, libxerces-c2-dev, unixodbc-dev, libsqlite3-dev, libgeos-dev, libmysqlclient-dev, libhdf5-serial-dev, libltdl3-dev, libcurl4-dev|libcurl3-dev Suggests: libgdal-doc Provides: libgdal-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 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). Package: libgdal-doc Section: doc Architecture: all Suggests: libgdal1-1.6.0 (=${binary:Version}) Homepage: http://www.gdal.org/#index_userdocs 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. Package: gdal-bin Section: science Architecture: any Depends: ${shlibs:Depends} Homepage: http://www.gdal.org/gdal_utilities.html Suggests: python-gdal 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. Package: python-gdal Section: python Architecture: any Depends: ${shlibs:Depends}, ${python:Depends}, python-numpy Provides: ${python:Provides} Homepage: http://trac.osgeo.org/gdal/wiki/GdalOgrInPython 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 and a set of additional command line tools. Package: libgdal-perl Section: perl Architecture: any Depends: ${shlibs:Depends}, ${perl:Depends} Homepage: http://map.hut.fi/doc/Geo-GDAL/html/ Description: 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. Package: libgdal-ruby1.8 Section: ruby Architecture: any Depends: ${shlibs:Depends} Description: 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. Package: libgdal-ruby Section: ruby Architecture: any Depends: libgdal-ruby1.8 Description: 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.