Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1785102673763106816 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10484904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fujingying spatialtemporaldistributionofglobalproductionlivingecologicalspaceduringtheperiod20002020 AT gaoqiang spatialtemporaldistributionofglobalproductionlivingecologicalspaceduringtheperiod20002020 AT jiangdong spatialtemporaldistributionofglobalproductionlivingecologicalspaceduringtheperiod20002020 AT lixiang spatialtemporaldistributionofglobalproductionlivingecologicalspaceduringtheperiod20002020 AT lingang spatialtemporaldistributionofglobalproductionlivingecologicalspaceduringtheperiod20002020 |