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

Falchetta, G. ORCID: https://orcid.org/0000-0003-2607-2195, Pachauri, S. ORCID: https://orcid.org/0000-0001-8138-3178, Parkinson, S. ORCID: https://orcid.org/0000-0002-4753-5198, & Byers, E. ORCID: https://orcid.org/0000-0003-0349-5742 (2019). Data from: A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa.

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Abstract

Description of this data This repository hosts two ncdf4 files containg the data output of the analysis. 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 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.

Item Type: Data
Research Programs: Energy (ENE)
Water (WAT)
Related URLs:
Depositing User: Luke Kirwan
Date Deposited: 04 Nov 2021 13:22
Last Modified: 04 Nov 2021 13:22
URI: https://pure.iiasa.ac.at/17575

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