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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/remotesensing/ZhuWMJWZLS22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Bin_Meng>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Changsheng_Shi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guoqing_Zhi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Huimin_Ji>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jian_Liu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Juan_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Shaohua_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yanrong_Zhu>
foaf:homepage <http://dx.doi.org/doi.org%2F10.3390%2Frs14164012>
foaf:homepage <https://doi.org/10.3390/rs14164012>
dc:identifier DBLP journals/remotesensing/ZhuWMJWZLS22 (xsd:string)
dc:identifier DOI doi.org%2F10.3390%2Frs14164012 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/remotesensing>
rdfs:label Quantifying Spatiotemporal Heterogeneities in PM2.5-Related Health and Associated Determinants Using Geospatial Big Data: A Case Study in Beijing. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Bin_Meng>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Changsheng_Shi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guoqing_Zhi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Huimin_Ji>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jian_Liu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Juan_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Shaohua_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yanrong_Zhu>
swrc:number 16 (xsd:string)
swrc:pages 4012 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/remotesensing/ZhuWMJWZLS22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/remotesensing/ZhuWMJWZLS22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#ZhuWMJWZLS22>
rdfs:seeAlso <https://doi.org/10.3390/rs14164012>
dc:title Quantifying Spatiotemporal Heterogeneities in PM2.5-Related Health and Associated Determinants Using Geospatial Big Data: A Case Study in Beijing. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 14 (xsd:string)