The regional poverty rate of the countries along the Silk Roads (2012-2018)

The regional poverty rate of the countries along the Silk Roads (2012-2018)


This dataset, based on night light data and macro statistical data, uses remote sensing inversion method(1km*1km)to obtain the poverty rate in different regions within each country. It has three advantages. a) The calculation unit can be adjusted according to the boundaries of administrative regions to reflect the poverty rate of sub-regions within the large country and scale, which is rare in statistically data. b) The survey and summary cycle limits the updating of national and sub-regional poverty rate, while the method based on night light data is more convenient. c) Due to the continuous annual data of night light, the difficulty of obtaining regional poverty rate in a long period was overcome. In view of the three outstanding advantages mentioned above, this data set can support to achieve the research subjects and provide scientific data for understanding the basic situation of poverty along the Silk Roads.


File naming and required software

File name: the incidence of poverty in the partition is stored in Excel format. The name of the file is "Pi" Prov "2012" 2018, where "Pi" represents the poverty incidence, Prov represents the sub regional data, and "2012" 2018 represents the coverage time of the data (2012-2018). The remaining documents are vector data corresponding to the incidence of poverty over the years.
Data reading method: the data can be opened directly by EXCEL program. Pi2012 in the data represents the incidence of poverty in 2012.


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Cite as:

Zhang, Q., Linxiu, Z. (2020). The regional poverty rate of the countries along the Silk Roads (2012-2018). A Big Earth Data Platform for Three Poles, (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.


Support Program

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

Copyright & License

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


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Keywords
Geographic coverage
East: 130.00 West: 20.00
South: 15.00 North: 45.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100m - 1km
  • File size: 20 MB
  • Views: 3213
  • Downloads: 3
  • Access: Protection period
  • Temporal coverage: 2012-01-09 To 2019-01-08
  • Updated time: 2021-04-19

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Contacts
: ZHANG Qian   Linxiu ZHANG  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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