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1 KM Grid GDP Data of China (2005, 2010)


HUANG Yaohuan1JIANG Dong1FU Jingying1,2
1Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,China2University of Chinese Academy of Sciences,Beijing,China

DOI:10.3974/geodb.2014.01.07.V1

Published:Jun. 2014

Visitors:8332       Data Files Downloaded:2833      
Data Downloaded:96607.57 MB      Citations:

Key Words:

China,GDP,Grid,Spatial data,2005,2010

Abstract:

The GDP data in China are available in the format of statistical tables with the spatial scale of administrative district in GIS. Sometimes they are not instable, imprecise and not unified with most geographic datasets. GDP in pixels instead of administrative polygons will facilitate the integration and comprehensive analysis between GDP and remote sensing products, such as land use and land cover changes. GDP datasets of China are composed of primary industry GDP, secondary industry GDP, and tertiary industry GDP. The correlative relationships between the land use and three industries were analyzed, and the spatial correlation model was implemented. The model was used to calculate the statistical GDP of every county for each pixel. The 1 km grid GDP datasets of China in 2005 and 2010 were derived. Forty counties including township GDP data were selected for precision verification. The results showed that the errors of the spatial GDP data in these counties were between 6% and 17%.Browse

Foundation Item:

Data Citation:

HUANG Yaohuan,JIANG Dong,FU Jingying.2014.1 KM Grid GDP Data of China (2005, 2010) ( GDPGrid_China ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2014.01.07.V1

Data Product:

ID Data Name Data Size Operation
0Datapaper_GDPGrid_China.pdf1675.00kbDownLoad
1 GDPGrid_China2005.zip 28568.40kb DownLoad
2 GDPGrid_China2010.zip 28459.88kb DownLoad
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum