Data from: Predictive mapping of the global power system using open data
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/3369106
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资源简介:
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
创建时间:
2024-07-22



