Metadata-Version: 2.1
Name: damagescanner
Version: 0.2.0
Summary: Damage assessment tool for natural disasters
Home-page: https://github.com/ElcoK/DamageScanner
Author: Elco Koks
Author-email: elcokoks@gmail.com
License: MIT License
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
Requires-Dist: shapely (>=1.6)
Requires-Dist: geopandas (>=0.4.0)
Requires-Dist: pandas (>=0.23.4rasterio>=1.08)
Requires-Dist: numpy (>=1.15.2)
Requires-Dist: matplotlib (>=3.0.0)

[![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) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2551016.svg)](https://doi.org/10.5281/zenodo.2551016)


# DamageScanner
Python toolkit for direct damage assessments for natural disasters.

Please refer to the [ReadTheDocs](http://damagescanner.readthedocs.io/) of this project for the full documentation of all functions. 

**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) 

## Installation

1. Open the python environment in your command prompt or bash in which you want to install this package.
2. Type ``pip install damagescanner`` and it should install itself into your python environment.
3. Now you can import the package like any other package!

OR:

1. Clone the repository or download the package on your computer and extract the folder.
2. Go to the DamageScanner folder in your command prompt or bash.
3. Type ``python setup.py install`` and it should install itself into your python environment.
4. Now you can import the package like any other package!

## To-do:
* Improve ReadtheDocs.
* Add plot capabilities.
* Add examples.
* Develop automated damage assessments using OpenStreetMap data.


### License
Copyright (C) 2019 Elco Koks. All versions released under the [MIT license](LICENSE).



