1-km gridded datasets for gross domestic product of five key nodes along One Belt One Road (2015)


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, then obtained the 1-km gridded datasets for GDP of 2015 in five key nodes over Bengal and Myanmar, including Dacca, Chittagong, Kyaukpyu, Rangoon and Mandalay. To solve the problem of missing data existing in the current datasets, we will apply kriging and function interpolation methods to fill gaps. We will also develop the multi-source data fusion method based on geostatistics to achieve the GDP predictions of time continuously and high spatial resolution.


File naming and required software

In .tif format, can be opened and analysed in ARCGIS and ENVI softwares.


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Cite as:

GE Yong, LING Feng. 1-km gridded datasets for gross domestic product of five key nodes along One Belt One Road (2015). National Tibetan Plateau Data Center, 2018. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Kummu, M., Taka, M., & Guillaume, J.H.A. (2018). Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Scientific Data, 5(1), 180004. https://doi.org/10.1038/sdata.2018.4.( View Details | Bibtex)

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


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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Keywords
Geographic coverage
East: 110.90 West: -3.31
South: -1.09 North: 58.68
Details
  • Temporal resolution: Yearly
  • Spatial resolution: km
  • File size: 0.081 MB
  • Views: 1,050
  • Downloads: 15
  • Access: Open Access
  • Temporal coverage: 2016-01-05 To 2016-01-05
  • Updated time: 2021-04-19
Contacts
: GE Yong   LING Feng  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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