Electrification_SSA_data

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Electrification_SSA_data

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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

Electrification_SSA_data 최신버젼 다운로드

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// repository documentation

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

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity)
![alt text](https://github.com/giacfalk/Electrification_SSA_data/blob/master/logo.PNG?raw=true)
**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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