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

Grippa Taïs


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{
  "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, Ta&iuml;s, Catherine Linard, Moritz Lennert, Stefanos Georganos, Nicholus Mboga, Sabine Vanhuysse, Assane Gadiaga, and El&eacute;onore Wolff. 2019. &ldquo;Improving Urban Population Distribution Models with Very-High Resolution Satellite Information.&rdquo; <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:&nbsp;</p>\n\n<p>This dataset was&nbsp;produced in the frame of two research project : MAUPP (<a href=\"http://maupp.ulb.ac.be/\">http://maupp.ulb.ac.be</a>)&nbsp;and REACT (<a href=\"http://react.ulb.be/\">http://react.ulb.be</a>), funded by the&nbsp;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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