OnStove inputs and outputs

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.

本仓库收录了与OnStove首次全量应用于撒哈拉以南非洲地区相关的研发数据集。本仓库包含以下内容：
1. 输入数据文件夹：存储本次分析所需的全部非地理信息系统（Geographic Information System, GIS）输入文件，即社会经济与技术经济规格文件。此类文件按分析情景（私人情景与社会情景）及所属国家进行分类。
2. GIS数据文件夹：存储本次分析中所有经过处理的地理信息系统数据，该文件夹下设本次分析覆盖的所有国家的子目录。
3. 一份名为“GIS数据来源与处理步骤说明”的Word文档，其中列明了本仓库共享的所有GIS数据的原始来源，以及各数据相较于原始版本的修改细节。
4. 输出数据文件夹：存储各国家的分析结果，结果按分析情景（私人情景与社会情景）划分。每个输出子文件夹包含：
i) 主可视化图表集：包含展示该情景下炉具分配结构的柱状图、覆盖撒哈拉以南非洲地区净收益最高炉具的空间分布地图、体现更换各类炉具所获净收益的箱线图，以及展示各类炉具总成本与货币化收益的可视化图表（注：残值已计入投资价值，即投资成本=初始投资-残值）；
ii) 一份包含结果摘要的逗号分隔值（Comma-Separated Values, CSV）文件；
iii) 一份包含完整分析结果的.pkl格式文件，可通过OnStove Python工具包进行探索与分析。
5. 示例案例数据集：用于复现单国家（加纳）的研究案例，需结合官方OnStove仓库（https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove/tree/main/example）中的Jupyter笔记本（Jupyter Notebook）使用。
6. 敏感性分析文件：用于本研究手稿中开展的敏感性分析的相关文件。