Dataset Open Access

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

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3628142", 
  "container_title": "Nature Scientific Data", 
  "title": "Data from: Predictive mapping of the global power system using open data", 
  "issued": {
    "date-parts": [
      [
        2020, 
        1, 
        16
      ]
    ]
  }, 
  "abstract": "<p>Three primary global data outputs from the research:</p>\n\n<ul>\n\t<li><strong>grid.gpkg:</strong> Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the &#39;source&#39; column</li>\n\t<li><strong>targets.tif:</strong> Binary raster showing locations predicted to be connected to distribution grid.&nbsp;</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/predictive-mapping-global-power</li>\n\t<li>https://github.com/carderne/access-estimator</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/predictive-mapping-global-power/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."
    }
  ], 
  "volume": "7", 
  "version": "1.1.1", 
  "type": "dataset", 
  "issue": "Article 19", 
  "id": "3628142"
}
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