Dataset Open Access

Dakar population estimates at 100x100m spatial resolution - grid layer - Dasymetric mapping

Grippa Taïs


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    <subfield code="a">Dakar population estimates at 100x100m spatial resolution - grid  layer - Dasymetric mapping</subfield>
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    <subfield code="a">&lt;p&gt;This dataset contains the a raster layer with the population estimates obtained using a dasymetric mapping procedure (top-down approach). For a detailed description of the methodology, please refer to the following paper:&lt;/p&gt;

&lt;p&gt;Grippa, Ta&amp;iuml;s, Catherine Linard, Moritz Lennert, Stefanos Georganos, Nicholus Mboga, Sabine Vanhuysse, Assane Gadiaga, and El&amp;eacute;onore Wolff. 2019. &amp;ldquo;Improving Urban Population Distribution Models with Very-High Resolution Satellite Information.&amp;rdquo; &lt;em&gt;Data&lt;/em&gt; 4 (1): 13. &lt;a href="https://doi.org/10.3390/data4010013"&gt;https://doi.org/10.3390/data4010013&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Funding and aknowledgement:&amp;nbsp;&lt;/p&gt;

&lt;p&gt;This dataset was&amp;nbsp;produced in the frame of two research project : MAUPP (&lt;a href="http://maupp.ulb.ac.be/"&gt;http://maupp.ulb.ac.be&lt;/a&gt;)&amp;nbsp;and REACT (&lt;a href="http://react.ulb.be/"&gt;http://react.ulb.be&lt;/a&gt;), funded by the&amp;nbsp;Belgian Federal Science Policy Office (&lt;a href="http://eo.belspo.be/About/Stereo3.aspx"&gt;BELSPO&lt;/a&gt;).&lt;/p&gt;

&lt;p&gt;The authors gratefully thanks the \href{http://assess-sn.org/}{ASSESS project}, funded by the \href{https://www.ares-ac.be}{ARES-CDD}, that provided the access to the census data.&lt;/p&gt;</subfield>
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