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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
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            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "# Pandarus\n\n[![Build Status](https://travis-ci.org/cmutel/pandarus.svg?branch=master)](https://travis-ci.org/cmutel/pandarus) [![codecov](https://codecov.io/gh/cmutel/pandarus/branch/master/graph/badge.svg)](https://codecov.io/gh/cmutel/pandarus) [![Docs](https://readthedocs.org/projects/pandarus/badge/?version=latest)](http://pandarus.readthedocs.io/?badge=latest) [![status](http://joss.theoj.org/papers/99cd637f2eac0ffaba0be09fd3f0d75c/status.svg)](http://joss.theoj.org/papers/99cd637f2eac0ffaba0be09fd3f0d75c)\n\nPandarus is a GIS software toolkit for regionalized life cycle assessment. It is designed to work with [brightway LCA framework](https://brightwaylca.org), [brightway2-regional](https://bitbucket.org/cmutel/brightway2-regional), and [Constructive Geometries](https://bitbucket.org/cmutel/constructive-geometries).\n\nFor more information, including installation instructions, see the [online documentation](https://pandarus.readthedocs.io/), including a [usage example](https://github.com/cmutel/pandarus/blob/master/docs/usage_example.ipynb). Pandarus is only compatible with >= Python 3.5.\n\nPandarus provides the following functionality:\n\n* [Overlay two vector datasets](https://pandarus.readthedocs.io/#intersecting-two-vector-datasets), calculating the areas of each combination of features using the Mollweide projection.\n* Calculate the [area of the geometric difference](https://pandarus.readthedocs.io/#calculating-area-outside-of-intersections) (the areas present in one input file but not in the other) of one vector dataset with another vector dataset.\n* [Calculate statistics](https://pandarus.readthedocs.io/#calculating-raster-statistics-against-a-vector-dataset) such as min, mean, and max when overlaying a raster dataset with a vector dataset.\n* [Normalize raster datasets](https://pandarus.readthedocs.io/#manipulating-raster-files), including use of compatible `nodata` values\n* Vectorization of raster datasets\n\n## Requirements\n\n* [appdirs](https://pypi.python.org/pypi/appdirs)\n* [fiona](https://pypi.python.org/pypi/Fiona)\n* [numpy](http://www.numpy.org/)\n* [pyproj](https://pypi.python.org/pypi/pyproj)\n* [rasterio](https://github.com/mapbox/rasterio)\n* [rasterstats](https://pypi.python.org/pypi/rasterstats)\n* [Rtree](https://pypi.python.org/pypi/Rtree/)\n* [shapely](https://pypi.python.org/pypi/Shapely)\n\n## Development\n\nPandarus is developed by [Chris Mutel](https://chris.mutel.org/) as part of his work at the [Technology Assessment Group](https://www.psi.ch/ta/technology-assessment) at the Paul Scherrer Institut and previously at the [Ecological Systems Design group](http://www.ifu.ethz.ch/ESD/index_EN) at ETH Z\u00fcrich.\n\nSource code is available on [GitHub](https://github.com/cmutel/pandarus).\n",
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