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
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 available | 16 Jan 2020 |
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Publisher | Zenodo |