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