Data from: A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa

Published: 29 Apr 2019 | Version 3 | DOI: 10.17632/kn4636mtvg.3
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Description of this data

This repository hosts two ncdf4 files containg the data output of the analyis.

  • One reporting the number of people without access in each grid cell between 2014 and 2018

  • The other reporting the estimated consumption tier in each electrified cell in 2018

Changelog (v3):

  • Fixed a bug which was producing a lower-resolution output .nc file for the consumption tiers file.
  • Changelog added.

Experiment data files

Steps to reproduce

In order to replicate the analysis, the following steps are required:

  • Create a Google account, if you do not have one, and make a request for Earth Engine access via https://signup.earthengine.google.com.
  • Make sure your Google Drive has enough free cloud storage space.
  • Either obtain access to the LandScan population data by applying for an account (https://landscan.ornl.gov/user/apply), or use the WorldPop data, which is accessible from the script in this repository without further steps.
  • Download the JavaScipt and R scripts and the supporitng files hosted at https://github.com/giacfalk/Electrification_SSA_data
  • Run the JavaScript file in Google Earth Engine
  • Download the supporting files along with the R script
  • Run the R script, which reproduce the analysis, plots contained in the paper, and the output ncdf4 files.

Related links

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Previous versions

  • Version 3

    2019-04-29

    Published: 2019-04-29

    DOI: 10.17632/kn4636mtvg.3

    Cite this dataset

    Falchetta, Giacomo; Pachauri, Shonali; Parkinson, Simon; Byers, Edward (2019), “Data from: A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa”, Mendeley Data, v3 http://dx.doi.org/10.17632/kn4636mtvg.3

  • Version 2

    2019-03-29

  • Version 1

    2019-02-15

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Institutions

Fondazione Eni Enrico Mattei Sede di Milano, International Institute for Applied Systems Analysis

Categories

Electricity, Development Studies, Spatial Databases, Subsaharan Africa, Rural Access to Useful Energy

Licence

GPLv3 Learn more

The files associated with this dataset are licensed under a GNU Public License Version 3 licence.

What does this mean?

The GNU General Public License is a free, copyleft license for software and other kinds of works.

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