Metadata-Version: 2.1
Name: hdxpop
Version: 0.0.3
Summary: Simple tool to download High Resolution Population Density Maps from Humanitarian Data Exchange
Home-page: https://github.com/samapriya/hdxpop
Author: Samapriya Roy
Author-email: samapriya.roy@gmail.com
License: MIT License
Description: # hdxpop
        
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3677646.svg)](https://doi.org/10.5281/zenodo.3677646)
        
        Simple tool to download High Resolution Population Density Maps from Humanitarian Data Exchange
        
        ## [For usage go to the medium article](https://medium.com/@samapriyaroy/community-datasets-in-google-earth-engine-an-experiment-b72daa474819)
        
        ```
        Samapriya Roy. (2020, February 21). samapriya/hdxpop: hdxpop: Simple tool to download High Resolution Population Density Maps from
        Humanitarian Data Exchange (Version 0.0.1). Zenodo. http://doi.org/10.5281/zenodo.3677646
        ```
        
        ## Table of contents
        * [Prerequisites](#prerequisites)
        * [Installing hdxpop](#installing-hdxpop)
        * [Using without install](#using-without-install)
        
        ## Prerequisites
        This assumes that you have native python & pip installed in your system, you can test this by going to the terminal (or windows command prompt) and trying. I recommend installation within virtual environment if you are worries about messing up your current environment.
        
        ```python``` and then ```pip list```
        
        If you get no errors and you have python 3.2 or higher you should be good to go.
        
        ## Installing hdxpop
        Once you have determined you have python, you can simply install hdxpop using two methods
        
        ```
        pip install hdxpop
        ```
        
        For linux I found it helps to specify the pip type and use --user. Here pip refers to your default python and pip installations, assumption here is you are using python3 and up.
        
        ```
        pip install hdxpop --user
        
        or
        
        pip3 install porder --user
        ```
        
        or you can also try
        
        ```
        git clone https://github.com/samapriya/hdxpop.git
        cd hdxpop
        python setup.py install
        ```
        
        ![hdxpop](https://user-images.githubusercontent.com/6677629/75043238-be6a9780-548d-11ea-9b3e-d7a4824ca8fc.png)
        
        
        ## Using without install
        You can do this too,by simply going downloading and unzipping the repo onto your machine and migrating to the innner hdxpop folder with the hdxpop.py file.
        
        you can then do a
        
        ```
        python3 hdxpop.py -h
        ```
        
        or simply if you have Git enabled
        
        ```
        git clone https://github.com/samapriya/hdxpop.git
        cd hdxpop/hdxpop/
        python hdxpop.py -h
        ```
        
        ## Changelog
        
        ### v0.0.3
        - Changes to search URL to include geotif, zipped only, goetiff and geotiff keyword filters.
        
        ### v0.0.2
        - Added installation instructions and setup
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.2
Description-Content-Type: text/markdown
