Resilience dataset on population growth in countries along the Belt and Road (2000-2019)

Resilience dataset on population growth in countries along the Belt and Road (2000-2019)


The resilience of population growth in countries along the Belt and Road reflects the level of resilience of population growth in the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of population growth in the countries along the Belt and Road. The World Bank's statistical database was used to prepare the Resilience to Population Growth data product, which uses year-on-year data on the population of countries along the Belt and Road from 2000 to 2019. The Resilience to Population Growth product is based on sensitivity and adaptation analysis. Please refer to the documentation for the methodology of preparing the dataset. "The resilience dataset is an important reference for analysing and comparing the current resilience of population growth in countries along the Belt and Road.


File naming and required software

File naming: The population growth resilience dataset is stored as an ARCGIS vector data shape file with the compressed name "population_growth.zip".
How to read the data: The data is uncompressed into ARCGIS vector data shape file format, please use ARCGIS software to open it, the value corresponding to the PG field in the data attribute table is the population growth resilience of the country.


Data Citations Data citation guideline What's data citation?
Cite as:

Xu, X. (2022). Resilience dataset on population growth in countries along the Belt and Road (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272263. CSTR: 18406.11.HumanNat.tpdc.272263. (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: 180.00 West: 12.09
South: -11.00 North: 81.87
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 16 MB
  • Views: 1779
  • Downloads: 320
  • Access: Open Access
  • Temporal coverage: For the past 20 years
  • Updated time: 2022-04-29
Contacts
: XU Xinliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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