Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data

International Journal of Geographical Information Science

Volumn 31, Issue 6, 2017, Pages 1220-1244

  Yao, Yao ^a   Liu, Xiaoping ^a   Li, Xia ^a   Zhang, Jinbao ^a   Liang, Zhaotang ^a   Mai, Ke ^a   Zhang, Yatao ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

geospatial big data; gravity model; Population mapping; random forest; social sensing

Indexed keywords

DEMOGRAPHIC SURVEY; DISASTER MANAGEMENT; GIS; MAPPING; POPULATION DISTRIBUTION; REMOTE SENSING; RESOURCE ALLOCATION; SPATIAL DATA; URBAN PLANNING;

EID: 85011898407     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2017.1290252     Document Type: Article

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