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Script and data from: "A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa"

License: GPL v3 Maintenance alt text 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 https://signup.earthengine.google.com.
  • Make sure your Google Drive has enough cloud storage space available.
  • Either obtain access to the LandScan population data by applying for an account (https://landscan.ornl.gov/user/apply), 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: http://dx.doi.org/10.17632/kn4636mtvg

The data descriptor manuscript, published in * Scientific Data *, is available at: http://dx.doi.org/10.1038/s41597-019-0122-6

The dynamic interface to browse the data is found at: http://gdessa.ene.iiasa.ac.at/ or at https://www.feem.it/gdessa

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Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers

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