edwardoughton/uba

Universal Broadband for Africa Universal Broadband for Africa ============================== **uba** assesses the costs of universal broadband connectivity in Africa. Using conda ========== The recommended installation method is to use conda, which handles packages and virtual environments, along with the conda-forge channel which has a host of pre-built libraries and packages. Create a conda environment called uba: conda create --name uba python=3.7 gdal Activate it (run this each time you switch projects): conda activate uba First, install optional packages: conda install geopandas sklearn contextily Then install uba: python setup.py install Alternatively, for development purposes, clone this repo and run: python setup.py develop Download necessary data ======================= You will need numerous input data sets. First, download the Global Administrative Database (GADM), following the link below and making sure you download the "six separate layers.": - gadm.org Place the data into the following path `data/raw/gadm36_levels_shp`. Then download the WorldPop global settlement data from: - worldpop.org. Place the data in `data/raw/settlement_layer`. Next, download the nightlight data here: ngdc.noaa.gov Place the unzipped data in `data/raw/nightlights/2013`. Obtain the Mobile Coverage Explorer data from Collins Bartholomew: collinsbartholomew.com Place the data into `data/raw/Mobile Coverage Explorer`. Once complete, run the following to preprocess all data: python scripts/preprocess.py Using the code ============== First make sure you have run the preprocessing script to extract the necessary files: python scripts/preprocess.py Then execute: python scripts/run.py Thanks for the support ====================== **uba** was written and developed at the `Environmental Change Institute, …