OnStove inputs and outputs

Published: 10 October 2022| Version 2 | DOI: 10.17632/7y943f6wf8.2
Babak Khavari,


This repository contains data developed in relation to the first application of OnStove for all of sub-Saharan Africa. The repository contains: 1. Inputs – a folder containing all non-GIS inputs of the analysis (socio- and techno-economic specification files. These files are divided per scenario (private and social) and per country. 2. GIS data – a folder containing all the processed GIS data from the analysis. The folder includes subfolders for all countries included in the analysis. 3. A word document named “GIS data sources and descriptions of processing steps”. This document includes all the original sources of the GIS data shared on the repository as well as descriptions on how they have been altered from the original sources 4. Outputs – a folder containing outputs for each country. The outputs are divided per scenario (private and social). Each output folder contains i) A main plot including a bar-plot indicating the stove- split in the scenario, a map of the spatial distribution of stoves with the highest net-benefit across SSA, a box-plot indicating the net-benefit resulting from switching to each stove type and a plot showing the total costs and monetized benefits of each stove type, note that salvage costs are incorporated in the investment values (Investment costs = investment – salvage), ii) a .csv file with the summaries of the results and iii) a .pkl file with the full results of the analysis, which can be explored using the OnStove python package. 5. Example case - Datasets needed in order to replicate the study for one country (Ghana) using the notebook found on the official OnStove repository (https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove/tree/main/example) 6. Sensitivity files – files used in the sensitivity analysis conducted as part of the manuscript.


Steps to reproduce

The input files are manually produced by the team behind the analysis. The output files are generated with OnStove v0.1.1, available at: https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove/releases/tag/v0.1.1


Geographic Information Systems, Cost Benefit Analysis, Subsaharan Africa, Clean Fuel