Disaggregating population data for assessing progress of SDGs: methods and applications
Author:
Affiliation:
1. College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, People’s Republic of China
2. Department of Civil Engineering, Ryerson University, Toronto, Canada
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2021.2013553
Reference164 articles.
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4. Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example
5. Coastal proximity of populations in 22 Pacific Island Countries and Territories
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