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Techno-Economic Assessment of Mobile Broadband

This repository holds the code for a global model capable of evaluating different mobile broadband strategies.

Using conda

You can install the existing conda environment using:

conda env create -f environment.yml

Otherwise, you can create one from scratch:

conda create --name cuba python=3.7 gdal

Once you've completed either optionm you can activate your environment (and run this each time you switch projects):

conda activate cuba

Some packages will be required if you didn't use the pre-existing conda environment:

conda install geopandas rasterio rasterstats

Getting Started

To begin running the code, we first need to collect the data:

python scripts/collect_data.py

And then process the demand inputs:

python scripts/demand.py

Next, we can preprocess other required data:

python scripts/preprocess.py

Before identifying local sites:

python scripts/supply.py

The energy layers also need processing:

python scripts/energy.py

Contributors

  • Ed Oughton (George Mason University)

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Techno-Economic Assessment of Mobile Broadband Strategies

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