Dataset of 100m scale GDP grid in 34 key nodes of Pan third pole region (2010)


Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced in a period of time, which has been used to determine the economic performance of a whole country or region. We have collected the published GDP data. Collect the public GDP data. On the basic of 1-kilometer scale global GDP grid data in 2010 released by the United Nations, the total GDP of the node area was obtained. The lighting data and land use data of node areas are took as auxiliary data, after data preprocessing, data interpolation and multiple regression analysis, establish the relationship between GDP and the hundred meter scale multiple data, and then, the GDP data of 34 key node areas are obtained.


Data file naming and use method

The data is stored in the format of grid TIFF file. The file is named after the country. TIF, such as Abbas_dp1.tif. It can be opened, viewed and analyzed by remote sensing software such as ArcGIS and QGIS.


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Cite as:

GE Yong, LI Qiangzi, DONG Wen. Dataset of 100m scale GDP grid in 34 key nodes of Pan third pole region (2010). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Socioeco.tpdc.270415. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 97.00 West: 89.00
South: 16.00 North: 24.50
Detail
  • Temporal resolution: Yearly
  • Spatial resolution: 100km - 1000km
  • File size: 3,380 MB
  • Browse count: 2,128 Times
  • Apply count: 5 Times
  • Share mode: online
  • Temporal coverage: 2010-01-16 To 2011-01-15
  • Updated time: 2020-03-16
Contact Information
: GE Yong   LI Qiangzi   DONG Wen  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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