Published January 16, 2020 | Version 1.1.1
Dataset Open

Data from: Predictive mapping of the global power system using open data

  • 1. World Bank Group
  • 2. University of Oxford

Description

Three primary global data outputs from the research:

  • grid.gpkg: Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column
  • targets.tif: Binary raster showing locations predicted to be connected to distribution grid. 
  • lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell.

This data was created with code in the following three repositories:

  • https://github.com/carderne/gridfinder
  • https://github.com/carderne/predictive-mapping-global-power
  • https://github.com/carderne/access-estimator

Full steps to reproduce are contained in this file:

  • https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md

The data can be visualized at the following location:

  • https://gridfinder.org

Files

example.png

Files (1.0 GB)

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md5:327dce4fd1e5dd737e3e97dccc0209d5
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Additional details

Related works

Is cited by
Journal article: 10.1038/s41597-019-0347-4 (DOI)