Spatial distribution data set of economic development degree in Yangon deepwater port area (2019)

Spatial distribution data set of economic development degree in Yangon deepwater port area (2019)


Gross domestic product (GDP) refers to the sum of the value of all the final products and services produced by all the resident units of a country (or region) in a certain period of time. It is an important indicator to measure the overall economic situation of a country. The source data of economic development degree comes from Matti. After cutting the original data and obtaining the data of the main urban area of Yangon deep water port, downscaling processing is carried out to reduce the resolution of the data to 10m level. The data of economic development degree can be used to measure the development degree of Yangon deep water port area, and can be used in urban planning, election, risk assessment, disaster relief, disease prevention and control, poverty alleviation and other fields.


File naming and required software

The data is stored in. TIF format and can be opened using ArcGIS. The name of the file is“ YangonGDP.tif "


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

Ge, Y., Li, Y. (2020). Spatial distribution data set of economic development degree in Yangon deepwater port area (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.271054. CSTR: 18406.11.Socioeco.tpdc.271054. (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)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


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


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Keywords
Geographic coverage
East: 96.40 West: 95.90
South: 16.50 North: 17.10
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 61 MB
  • Views: 2062
  • Downloads: 346
  • Access: Open Access
  • Temporal coverage: 2019-01-01 To 2019-12-31
  • Updated time: 2021-04-19
Contacts
: GE Yong   LI Yi  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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