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. 2020 Mar 9;7:83. doi: 10.1038/s41597-020-0421-y

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Methodology Framework for Provincial Population Projection and Downscaling. This study, which was based on a global narrative of SSPs and data from the Chinese Census 2010, used a recursive multidimensional model to project provincial populations in China under five SSPs and distributed them into spatial grids. The blue rectangles contain exogenous data, the red rectangles are the research outcomes from this study, and the white ones describe the modelling steps.