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[ Source: gdal  ]

Package: python-gdal (1.3.2-4)

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/

Tags: Software Development: Python Development, Libraries, Field: Geography, Implemented in: Python, Role: Application Data

Other Packages Related to python-gdal

  • depends
  • recommends
  • suggests
  • dep: libc6 (>= 2.3.5-1)
    GNU C Library: Shared libraries
  • dep: libgcc2 (>= 4.1.1-12)
    GCC support library
  • dep: libgdal1-1.3.2
    Geospatial Data Abstraction Library
  • dep: libstdc++6 (>= 4.1.1-12)
    The GNU Standard C++ Library v3
  • dep: python (<< 2.5)
    An interactive high-level object-oriented language (default version)
    dep: python (>= 2.4)
  • dep: python-central (>= 0.5.8)
    register and build utility for Python packages
  • dep: python-numeric
    Numerical (matrix-oriented) Mathematics for Python

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