Dataset Open Access
Arderne, Christopher;
NIcolas, Claire;
Zorn, Conrad;
Koks, Elco E.
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.3369107", "title": "Data from: Predictive mapping of the global power system using open data", "issued": { "date-parts": [ [ 2019, 8, 15 ] ] }, "abstract": "<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>", "author": [ { "family": "Arderne, Christopher" }, { "family": "NIcolas, Claire" }, { "family": "Zorn, Conrad" }, { "family": "Koks, Elco E." } ], "version": "1.0.0", "type": "dataset", "id": "3369107" }
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Data volume | 1.2 TB | 13.0 GB |
Unique views | 1,929 | 95 |
Unique downloads | 1,469 | 22 |