Dataset Open Access
Data from: Predictive mapping of the global power system using open data
Arderne, Christopher;
NIcolas, Claire;
Zorn, Conrad;
Koks, Elco E.
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
(1.0 GB)
| Name | Size | |
|---|---|---|
|
example.png
md5:327dce4fd1e5dd737e3e97dccc0209d5 |
973.5 kB | Download |
|
grid.gpkg
md5:e5d0e9bd8ce4de851e65c6adae1af386 |
724.6 MB | Download |
|
lv.tif
md5:d2e4e3078ab3d033e36b915824a93339 |
251.2 MB | Download |
|
targets.tif
md5:14ea25c90df810e9746838ff79b125cd |
29.0 MB | Download |
716
473
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 716 | 236 |
| Downloads | 473 | 349 |
| Data volume | 198.8 GB | 151.6 GB |
| Unique views | 581 | 191 |
| Unique downloads | 242 | 178 |
Indexed in
- Publication date:
- January 16, 2020
- DOI:
-
- Keyword(s):
- electricity infrastructure power
- Published in:
- Nature Scientific Data: 7 (Article 19).
- Related identifiers:
- Cited by
- 10.1038/s41597-019-0347-4 (Journal article)
- License (for files):
- Creative Commons Attribution 4.0 International