A dataset of income distribution on provincial, urban, and rural levels for China from 2020 to 2100
Abstract Projections of future income distributions at subnational levels are becoming increasingly important for a variety of analyses and evaluations. However, relevant datasets are currently limited. This study presents a methodological framework that introduces machine learning algorithms to a t...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Portfolio
2024-12-01
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| Sarja: | Scientific Data |
| Linkit: | https://doi.org/10.1038/s41597-024-04304-x |
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