Dataset Open Access
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.2525672", "container_title": "Data", "title": "Dakar population estimates at 100x100m spatial resolution - grid layer - Dasymetric mapping", "issued": { "date-parts": [ [ 2018, 12, 24 ] ] }, "abstract": "<p>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:</p>\n\n<p>Grippa, Taïs, Catherine Linard, Moritz Lennert, Stefanos Georganos, Nicholus Mboga, Sabine Vanhuysse, Assane Gadiaga, and Eléonore Wolff. 2019. “Improving Urban Population Distribution Models with Very-High Resolution Satellite Information.” <em>Data</em> 4 (1): 13. <a href=\"https://doi.org/10.3390/data4010013\">https://doi.org/10.3390/data4010013</a>.</p>\n\n<p>Funding and aknowledgement: </p>\n\n<p>This dataset was produced in the frame of two research project : MAUPP (<a href=\"http://maupp.ulb.ac.be/\">http://maupp.ulb.ac.be</a>) and REACT (<a href=\"http://react.ulb.be/\">http://react.ulb.be</a>), funded by the Belgian Federal Science Policy Office (<a href=\"http://eo.belspo.be/About/Stereo3.aspx\">BELSPO</a>).</p>\n\n<p>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.</p>", "author": [ { "family": "Grippa Ta\u00efs" } ], "type": "dataset", "id": "2525672" }
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