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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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    <dcat:keyword>electricity</dcat:keyword>
    <dcat:keyword>infrastructure</dcat:keyword>
    <dcat:keyword>power</dcat:keyword>
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    <dct:description>&lt;p&gt;Four primary global data outputs from the research:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;hv.gpkg:&lt;/strong&gt; Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;targets.tif:&lt;/strong&gt; Binary aster showing locations predicted to be connected to distribution grid.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;mv.gpkg:&lt;/strong&gt; Vectorized predicted distribution line network.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;lv.tif:&lt;/strong&gt; Raster of predicted low-voltage infrastructure in kilometres per cell.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;This data was created with code in the following three repositories:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;https://github.com/carderne/gridfinder&lt;/li&gt; &lt;li&gt;https://github.com/carderne/energy-infra&lt;/li&gt; &lt;li&gt;https://github.com/carderne/accessestimator&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Full steps to reproduce are contained in this file:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;https://github.com/carderne/energy-infra/blob/master/README.md&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;The data can be visualized at the following location:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;https://gridfinder.org&lt;/li&gt; &lt;/ul&gt;</dct:description>
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