pandarus


Namepandarus JSON
Version 1.1 PyPI version JSON
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home_pagehttps://github.com/cmutel/pandarus
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authorChris Mutel
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licenseCopyright (c) 2016, Chris Mutel and ETH Zürich. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of ETH Zürich nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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            # Pandarus

[![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)

Pandarus 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).

For 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.

Pandarus provides the following functionality:

* [Overlay two vector datasets](https://pandarus.readthedocs.io/#intersecting-two-vector-datasets), calculating the areas of each combination of features using the Mollweide projection.
* 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.
* [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.
* [Normalize raster datasets](https://pandarus.readthedocs.io/#manipulating-raster-files), including use of compatible `nodata` values
* Vectorization of raster datasets

## Requirements

* [appdirs](https://pypi.python.org/pypi/appdirs)
* [fiona](https://pypi.python.org/pypi/Fiona)
* [numpy](http://www.numpy.org/)
* [pyproj](https://pypi.python.org/pypi/pyproj)
* [rasterio](https://github.com/mapbox/rasterio)
* [rasterstats](https://pypi.python.org/pypi/rasterstats)
* [Rtree](https://pypi.python.org/pypi/Rtree/)
* [shapely](https://pypi.python.org/pypi/Shapely)

## Development

Pandarus 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 Zürich.

Source code is available on [GitHub](https://github.com/cmutel/pandarus).



            

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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\n\n",
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