August 15, 2019 Dataset Open Access

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

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    "description": "<p>Four primary global data outputs from the research:</p>\n\n<ul>\n\t<li><strong>hv.gpkg:</strong> Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors.</li>\n\t<li><strong>targets.tif:</strong> Binary aster showing locations predicted to be connected to distribution grid.</li>\n\t<li><strong>mv.gpkg:</strong> Vectorized predicted distribution line network.</li>\n\t<li><strong>lv.tif:</strong> Raster of predicted low-voltage infrastructure in kilometres per cell.</li>\n</ul>\n\n<p>This data was created with code in the following three repositories:</p>\n\n<ul>\n\t<li>https://github.com/carderne/gridfinder</li>\n\t<li>https://github.com/carderne/energy-infra</li>\n\t<li>https://github.com/carderne/accessestimator</li>\n</ul>\n\n<p>Full steps to reproduce are contained in this file:</p>\n\n<ul>\n\t<li>https://github.com/carderne/energy-infra/blob/master/README.md</li>\n</ul>\n\n<p>The data can be visualized at the following location:</p>\n\n<ul>\n\t<li>https://gridfinder.org</li>\n</ul>", 
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    "title": "Data from: Predictive mapping of the global power system using open data", 
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    "publication_date": "2019-08-15", 
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        "affiliation": "World Bank Group", 
        "name": "Arderne, Christopher"
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        "affiliation": "World Bank Group", 
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        "affiliation": "University of Oxford", 
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