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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: power, electricity, infrastructure

Research datakeyboard_double_arrow_right Dataset 15 Aug 2019 Netherlands Publisher:Zenodo

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

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

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

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Abstract

Four primary global data outputs from the research: hv.gpkg: Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors. targets.tif: Binary aster showing locations predicted to be connected to distribution grid. mv.gpkg: Vectorized predicted distribution line network. 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/energy-infra https://github.com/carderne/accessestimator Full steps to reproduce are contained in this file: https://github.com/carderne/energy-infra/blob/master/README.md The data can be visualized at the following location: https://gridfinder.org

Country

Netherlands

Related Organizations

Vrije Universiteit Amsterdam
Netherlands
World Bank
United States
University of Oxford
United Kingdom

Keywords

power, electricity, infrastructure

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average