Global 1km Gross Domestic Product (1992–2019)


Economic activities are essential for human survival and development. Facilitated by social organization and order, humans use labor and other production resources to exchange goods and services to create, transform, and achieve economic value. Te economic output in a country or region is its accumulation of created economic values within a certain period; of which, Gross Domestic Product (GDP), is the most prevalent indicator globally. From a revised real growth perspective, this dataset employed a top-down method to calculate global 1km×1km gridded revised real GDP during 1992–2019 based on our calibrated nighttime light data.The scope of the gridded data did not involve all of the worldwide countries (175 countries’ or regions’ GDP data). Thus, the values of the area beyond the scope of our study were set to 0. Te offcial GDP data were derived from the Penn World Table. In addition, the projected coordinate system of all images was set as the Mollweide coordinate.


File naming and required software

File name: Global_ GDP_ yyyy. tif ; Usage: Open it with Arcgis or ENVI software.


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Cite as:

Yu, L., Ming, G. (2022). Global 1km Gross Domestic Product (1992–2019). Upper Yangtze River Scientific Data Center, DOI: https://doi.org/10.6084/m9.figshare.17004523.v1. (Download the reference:

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


References literature

1.Chen, J., Gao, M., Cheng, S., Hou, W., Song, M., Liu, X., & Liu, Y. (2022). Global 1 km× 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data. Scientific Data, 9(1), 1-14. (View Details )


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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: -180.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100m - 1km
  • File size: 60,211 MB
  • Views: 205
  • Downloads: 0
  • Access: Requestable
  • Temporal coverage: 1992-2019
  • Updated time: 2022-10-11
Contacts
: YU Liu    MING Gao   

Distributor: 重庆金佛山喀斯特生态系统国家野外科学观测研究站数据中心

Email: data@westdc.cn

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