April 6, 2021 Conference paper Open Access

Jin, Mingming; Zeng, Peng; Sun, Zongyao

DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.4665683">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.4665683</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.4665683"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Jin, Mingming</foaf:name>
        <foaf:givenName>Mingming</foaf:givenName>
        <foaf:familyName>Jin</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>School of Architecture, Tianjin University, Tianjin 300272, China</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Zeng, Peng</foaf:name>
        <foaf:givenName>Peng</foaf:givenName>
        <foaf:familyName>Zeng</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>School of Architecture, Tianjin University, Tianjin 300272, China</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Sun, Zongyao</foaf:name>
        <foaf:givenName>Zongyao</foaf:givenName>
        <foaf:familyName>Sun</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>School of Architecture, Tianjin University, Tianjin 300272, China</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>Study on the impact mechanism of population distribution before and during the COVID-19 in high density urban area: a case study of Tianjin central area</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-04-06</dct:issued>
    <owl:sameAs rdf:resource="https://zenodo.org/record/4665683"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/4665683</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.4665682"/>
    <dct:description>&lt;p&gt;In this paper, Tianjin central area is taken as an example to calculate the urban population density index (PDI) as the dependent variable of Multiscale Geographically Weighted Regression (MGWR) through Baidu heat map, indicating the population distribution during the epidemic. MGWR is used to study the relationship between the multifunction of urban housing, commerce, service, industry and population distribution before and during the COVID-19. The research results can provide scientific support for urban epidemic prevention strategies.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.4665683"/>
        <dcat:byteSize>485674</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/4665683/files/GISRUK2021_paper_29.pdf"/>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>