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Dataset Open Access

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

Arderne, Christopher; NIcolas, Claire; Zorn, Conrad; Koks, Elco E.

Four primary global data outputs from the research:

  • hv.gpkg: Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors.
  • targets.tif: Binary aster showing locations predicted to be connected to distribution grid.
  • mv.gpkg: Vectorized predicted distribution line network.
  • 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 (1.2 GB)
Name Size
hv.gpkg
md5:5ed6f30fb13133a7989bb09cbd3ebc29
440.5 MB Download
lv.tif
md5:d2e4e3078ab3d033e36b915824a93339
251.2 MB Download
mv.gpkg
md5:770c5a02b928759d25f993d1b60cf76d
504.8 MB Download
targets.tif
md5:14ea25c90df810e9746838ff79b125cd
29.0 MB Download
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Views 74286
Downloads 55435
Data volume 236.3 GB12.0 GB
Unique views 60079
Unique downloads 28520

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