Baringo_vulnerability_mitigation

This pipeline allows to replicate the data analysis for the paper "Climate change adaptation and mitigation strategies in the Kenyan Rift Valley: the case of Baringo and Bogoria lakes"

The code does the following:

1. Process elevation data and include it in the sublocation-level dataset
2. Process household level data and include it in the sublocation-level
3. Process roads density data and include it in the sublocation-level
4. Implement the TOPSIS algorithm for computing the social vulnerability index
5. Cost effectiveness analysis (1): Process data concerning the cost of interventions (workshops, plantations, embankment).
6. Cost effectiveness analysis (2): Process data concerning the benefits of interventions (number of dwellings and agrarian jobs by sublocation).
7. Computation of CEA ratio (with sensitivity analysis).