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

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

Dataset

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
Date made available16 Jan 2020
PublisherZenodo

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