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

  • C. Nicolas (Contributor)
  • Elco Koks (Contributor)
  • C. Arderne (Contributor)
  • C. Zorn (Contributor)

Dataset / Software

Description

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
Date made available15 Aug 2019
PublisherZenodo

Cite this