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    "info": {
        "author": "Elco Koks",
        "author_email": "elcokoks@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 1 - Planning",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: GIS",
            "Topic :: Utilities"
        ],
        "description": "[![Build Status](https://travis-ci.com/ElcoK/DamageScanner.svg?branch=master)](https://travis-ci.com/ElcoK/DamageScanner) [![Documentation Status](https://readthedocs.org/projects/damagescanner/badge/?version=latest)](https://damagescanner.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/damagescanner.svg)](https://badge.fury.io/py/damagescanner) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2551016.svg)](https://doi.org/10.5281/zenodo.2551016) \n\n\n# DamageScanner\nPython toolkit for direct damage assessments for natural disasters.\n\nPlease refer to the [ReadTheDocs](http://damagescanner.readthedocs.io/) of this project for the full documentation of all functions. \n\n**Requirements:** [NumPy](http://www.numpy.org/), [pandas](https://pandas.pydata.org/), [geopandas](http://geopandas.org/), [matplotlib](https://matplotlib.org/), [rasterio](https://github.com/mapbox/rasterio), [tqdm](https://github.com/tqdm/tqdm) \n\n## Background\nThis package is (loosely) based on the original DamageScanner, which calculated potential flood damages based on inundation depth and land use using depth-damage curves in the Netherlands. The DamageScanner was originally developed for the 'Netherlands Later' project [(Klijn et al., 2007)](https://www.rivm.nl/bibliotheek/digitaaldepot/WL_rapport_Overstromingsrisicos_Nederland.pdf).  The original land-use classes were based on the Land-Use Scanner in order to evaluate the effect of future land-use change on flood damages. \n\nThis package aims to make this method widely available and for everyone to use. Next to a (generalized) function for estimating damages based on rasterdata, it also includes a damage assessment function using vector land-use data. \n\nEven though the method is initially developed for flood damage assessments, it can calculate damages for any hazard for which you just require a fragility curve (i.e. a one-dimensional relation). \n\n## Installation\n\n1. Open the python environment in your command prompt or bash in which you want to install this package.\n2. Type ``pip install damagescanner`` and it should install itself into your python environment.\n3. Now you can import the package like any other package!\n\nOR:\n\n1. Clone the repository or download the package on your computer and extract the folder.\n2. Go to the DamageScanner folder in your command prompt or bash.\n3. Type ``python setup.py install`` and it should install itself into your python environment.\n4. Now you can import the package like any other package!\n\n## To-do:\n* Make inputs for both the RasterScanner and VectorScanner more flexible. Catch common errors.\n* Make plotting functions more flexible.\n* Develop automated damage assessments using OpenStreetMap data.\n\n## How to cite:\nIf you use the **DamageScanner** for research, please cite the package directly:\n\n* Koks. E.E. (2019). DamageScanner: Python tool for disaster damage assessments (Version v0.2.1). Zenodo. http://doi.org/10.5281/zenodo.2551016\n\nHere's an example BibTeX entry:\n\n        @misc{damagescannerPython,\n              author       = {Koks, E.E.},\n              title        = {DamageScanner: Python tool for disaster damage assessments},\n              year         = 2019,\n              doi          = {10.5281/zenodo.2551016},\n              url          = {http://doi.org/10.5281/zenodo.2551016}\n        }\n\n### License\nCopyright (C) 2019 Elco Koks. All versions released under the [MIT license](LICENSE).\n\n\n![IVM](http://ivm.vu.nl/en/Images/IVM_logo_rgb2_tcm234-851594.svg)\n\n\n",
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        "license": "MIT License",
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