Dataset Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.2525672</identifier> <creators> <creator> <creatorName>Grippa Taïs</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9837-1832</nameIdentifier> <affiliation>Université Libre de Bruxelles</affiliation> </creator> </creators> <titles> <title>Dakar population estimates at 100x100m spatial resolution - grid layer - Dasymetric mapping</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <subjects> <subject>Dakar</subject> <subject>Dasymetric mapping</subject> <subject>Population modeling</subject> <subject>Population estimates</subject> <subject>Grid</subject> </subjects> <contributors> <contributor contributorType="Other"> <contributorName>Linard Catherine</contributorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0819-7755</nameIdentifier> <affiliation>University of Namur</affiliation> </contributor> <contributor contributorType="Other"> <contributorName>Lennert Moritz</contributorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2870-4515</nameIdentifier> <affiliation>Université Libre de Bruxelles</affiliation> </contributor> <contributor contributorType="Other"> <contributorName>Georganos Stefanos</contributorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0001-2058</nameIdentifier> <affiliation>Université Libre de Bruxelles</affiliation> </contributor> <contributor contributorType="Other"> <contributorName>Mboga Nicholus</contributorName> <affiliation>Université Libre de Bruxelles</affiliation> </contributor> <contributor contributorType="Other"> <contributorName>Vanhuysse Sabine</contributorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6226-1968</nameIdentifier> <affiliation>Université Libre de Bruxelles</affiliation> </contributor> <contributor contributorType="Other"> <contributorName>Gadiaga Assane</contributorName> <affiliation>University of Namur</affiliation> </contributor> <contributor contributorType="Other"> <contributorName>Wolff Eléonore</contributorName> <affiliation>Université Libre de Bruxelles</affiliation> </contributor> </contributors> <dates> <date dateType="Issued">2018-12-24</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2525672</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2525671</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="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> <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> <p>Funding and aknowledgement:&nbsp;</p> <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> <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></description> </descriptions> </resource>
All versions | This version | |
---|---|---|
Views | 203 | 203 |
Downloads | 36 | 36 |
Data volume | 5.3 MB | 5.3 MB |
Unique views | 185 | 185 |
Unique downloads | 34 | 34 |