giacfalk/Electrification_SSA_data

Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers # Script and data from: "A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa" **Changelog:** - 05/08/19: Added support to GHSL and HRSL population datasets and electrification estimates for the first half of 2019. **This repository hosts:** - A JavaScript file to import into Google Earth Engine (step 1) - A R script to be run after execution of the JavaScript file in Earth Engine (step 2) - Supporting files to run the analysis (e.g. a shapefile of provinces) **To replicate the analysis, the following steps should be followed:** - Create a Google account, if you do not have one, and require access to Earth Engine signup.earthengine.google.c…. - Make sure your Google Drive has enough cloud storage space available. - Either obtain access to the LandScan population data by applying for an account (landscan.ornl.gov), or use the Global Human Settlement Layers, High Resolution Settlement Layers, or WorldPop datasets, which are accessible from the script in this repository without additional steps. - Download the JavaScipt and R scripts and the supporitng files - Run the JavaScript file in Google Earth Engine - Run the R script, which reproduces the analysis, the validation, the plots contained in the paper, and the output ncdf4 files. Source code-related issues should be opened directly on GitHub. Broader questions of the methods should be addressed to giacomo.falchetta@feem.it The **original dataset** is available at: dx.doi.org The **data descriptor manuscript**, published in * *Scientific Data* *, is available at: dx.doi.org The **dynamic interface** to browse the data is found at: gdessa.ene.iiasa.ac.at or at feem.it