Forecasting China’s GDP at the pixel level using nighttime lights time series and population images

GIScience and Remote Sensing

Volumn 54, Issue 3, 2017, Pages 407-425

  Zhao, Naizhuo ^a   Liu, Ying ^a   Cao, Guofeng ^a   Samson, Eric L ^b   Zhang, Jingqi ^c  

^a TEXAS TECH UNIVERSITY   (United States)

^b Mayan Esteem Project   (United States)

^c NORTHEASTERN UNIVERSITY   (China)

Author keywords

China; gross domestic product (GDP); Holt Winters smoothing; nighttime light imagery; urban agglomeration

Indexed keywords

ECONOMIC GROWTH; ERROR ANALYSIS; FORECASTING METHOD; GEOSTATISTICS; GROSS DOMESTIC PRODUCT; PIXEL; POPULATION DYNAMICS; SMOOTHING; TIME SERIES ANALYSIS; URBAN ECONOMY;

CHINA;

EID: 85008312470     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2016.1276705     Document Type: Article

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