Engineering-Economic Evaluation of Non-Line-of-Sight Backhaul (e3nb)
e3nb enables the economic costs of Non-Line-of-Sight (NLOS) backhaul to be quantified.
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 e3nb:
conda create --name e3nb python=3.7 gdal
Activate it (run this each time you switch projects):
conda activate e3nb
First, install optional packages:
conda install geopandas
Then install e3nb:
python setup.py install
Alternatively, for development purposes, clone this repo and run:
python setup.py develop
e3nb was written and developed at George Mason University <https://www2.gmu.edu/>
.