Dataset Open Access

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

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


MARC21 XML Export

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    <subfield code="a">&lt;p&gt;Three primary global data outputs from the research:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;strong&gt;grid.gpkg:&lt;/strong&gt; Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the &amp;#39;source&amp;#39; column&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;targets.tif:&lt;/strong&gt; Binary raster showing locations predicted to be connected to distribution grid.&amp;nbsp;&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/predictive-mapping-global-power&lt;/li&gt;
	&lt;li&gt;https://github.com/carderne/access-estimator&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/predictive-mapping-global-power/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;
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