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Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020

Global production-living-ecology space closely corresponds with sustainable development’s economic, social and ecological elements. The dataset of global production–living–ecological space in this paper was generated by combining the global land cover obtained using GlobeLand30 and the population de...

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Autores principales: Fu, Jingying, Gao, Qiang, Jiang, Dong, Li, Xiang, Lin, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484904/
https://www.ncbi.nlm.nih.gov/pubmed/37679369
http://dx.doi.org/10.1038/s41597-023-02497-1
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author Fu, Jingying
Gao, Qiang
Jiang, Dong
Li, Xiang
Lin, Gang
author_facet Fu, Jingying
Gao, Qiang
Jiang, Dong
Li, Xiang
Lin, Gang
author_sort Fu, Jingying
collection PubMed
description Global production-living-ecology space closely corresponds with sustainable development’s economic, social and ecological elements. The dataset of global production–living–ecological space in this paper was generated by combining the global land cover obtained using GlobeLand30 and the population density supplied by NASA’s Socioeconomic Data and Applications Center in 2000, 2010, and 2020. The verification was carried out using the random sampling function of ArcGIS software on the basis of Google Earth sample images. The overall accuracy of the global production–living–ecological space data in 2020 was 83.94% and the Kappa coefficient was 0.81. The overall accuracy of the global production–living–ecological space data in 2010 was 87.00% and the Kappa coefficient was 0.84. The overall accuracy of the spatial data in 2000 was 86.06% and the Kappa coefficient was 0.83. The dataset fills a gap in the global production-living-ecology space database and will be an essential reference for assessing the coordinated development of sustainable development goals.
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spelling pubmed-104849042023-09-09 Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020 Fu, Jingying Gao, Qiang Jiang, Dong Li, Xiang Lin, Gang Sci Data Data Descriptor Global production-living-ecology space closely corresponds with sustainable development’s economic, social and ecological elements. The dataset of global production–living–ecological space in this paper was generated by combining the global land cover obtained using GlobeLand30 and the population density supplied by NASA’s Socioeconomic Data and Applications Center in 2000, 2010, and 2020. The verification was carried out using the random sampling function of ArcGIS software on the basis of Google Earth sample images. The overall accuracy of the global production–living–ecological space data in 2020 was 83.94% and the Kappa coefficient was 0.81. The overall accuracy of the global production–living–ecological space data in 2010 was 87.00% and the Kappa coefficient was 0.84. The overall accuracy of the spatial data in 2000 was 86.06% and the Kappa coefficient was 0.83. The dataset fills a gap in the global production-living-ecology space database and will be an essential reference for assessing the coordinated development of sustainable development goals. Nature Publishing Group UK 2023-09-07 /pmc/articles/PMC10484904/ /pubmed/37679369 http://dx.doi.org/10.1038/s41597-023-02497-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Fu, Jingying
Gao, Qiang
Jiang, Dong
Li, Xiang
Lin, Gang
Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
title Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
title_full Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
title_fullStr Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
title_full_unstemmed Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
title_short Spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
title_sort spatial–temporal distribution of global production–living–ecological space during the period 2000–2020
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484904/
https://www.ncbi.nlm.nih.gov/pubmed/37679369
http://dx.doi.org/10.1038/s41597-023-02497-1
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