research data . Dataset . 2019

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

Name: Data from: Predictive mapping of the global power system using open data
Keywords: electricity, infrastructure, power

Arderne, Christopher; NIcolas, Claire; Zorn, Conrad; Koks, Elco E.;

Open Access

Published: 15 Aug 2019

Publisher: Zenodo

Summary
Related research

Abstract

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/cardern...

Persistent Identifiers

doi: 10.5281/zenodo.3369106 , 10.5281/zenodo.3369107 , 10.5281/zenodo.3628142 , 10.5281/zenodo.3538890