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Published August 15, 2019 | Version 1.1.0
Dataset Open

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

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

Description

Four 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 aster 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/energy-infra
  • https://github.com/carderne/accessestimator

Full steps to reproduce are contained in this file:

  • https://github.com/carderne/energy-infra/blob/master/README.md

The data can be visualized at the following location:

  • https://gridfinder.org

Files

lv.tif

Files (1.0 GB)

Name Size Download all
md5:e5d0e9bd8ce4de851e65c6adae1af386
724.6 MB Download
md5:d2e4e3078ab3d033e36b915824a93339
251.2 MB Preview Download
md5:14ea25c90df810e9746838ff79b125cd
29.0 MB Preview Download

Additional details

Related works

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