Evaluation of the carbon sequestration for the canton of Vaud

Analysis DAG

TODO

Instructions to reproduce the repository

Preparing the environment

1. Create the conda environment

    # the environment's name will be `carbonseq_vaud`
    conda env create -f environment.yml
   

2. Configure your S3 profile (credentials, region and endpoint URL)

3. Enter the fresh environment

    conda activate carbonseq_vaud
   

4. Already within the environment, make it available as a jupyter kernel as in:

    python -m ipykernel install --user --name carbonseq_vaud --display-name "Python (carbonseq_vaud)"
   

Reproducing

1. From the repository's root, create a folder named papermill_outputs

2. Pull the data from the dvc remote

    dvc pull
   

3. Reproduce the land data frame

    dvc repro data/vaud_ldf.csv.dvc
   

Now you can execute the Notebook invest.ipynb