{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gu H"],"funding":["Social and Science Fund of Hunan Province","National Natural Science Foundation of Hunan Province","Key Projects of Hunan Provincial Department of Education"],"pagination":["3062"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9965788"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(4)"],"pubmed_abstract":["Global warming caused by carbon emissions is an environmental issue of great concern to all sectors. Dynamic monitoring of the spatiotemporal evolution of urban carbon emissions is an important link to achieve the regional \"double carbon\" goal. Using 14 cities (prefectures) in Hunan Province as an example, based on the data of carbon emissions generated by land use and human production and life, and on the basis of estimating the carbon emissions in Hunan Province from 2000 to 2020 using the carbon emission coefficient method, this paper uses the Exploratory Spatial-Temporal Data Analysis (ESTDA) framework to analyze the dynamic characteristics of the spatiotemporal pattern of carbon emissions in Hunan Province from 2000 to 2020 through the Local Indicators of Spatial Association (LISA) ti"],"journal":["International journal of environmental research and public health"],"pubmed_title":["Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years."],"pmcid":["PMC9965788"],"funding_grant_id":["18JD26","2021JJ50057","2022JJ50063","22A0419"],"pubmed_authors":["Liu Y","Xia H","Gu H","Tan X","Zeng Y","Zhao X"],"additional_accession":[]},"is_claimable":false,"name":"Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years.","description":"Global warming caused by carbon emissions is an environmental issue of great concern to all sectors. Dynamic monitoring of the spatiotemporal evolution of urban carbon emissions is an important link to achieve the regional \"double carbon\" goal. Using 14 cities (prefectures) in Hunan Province as an example, based on the data of carbon emissions generated by land use and human production and life, and on the basis of estimating the carbon emissions in Hunan Province from 2000 to 2020 using the carbon emission coefficient method, this paper uses the Exploratory Spatial-Temporal Data Analysis (ESTDA) framework to analyze the dynamic characteristics of the spatiotemporal pattern of carbon emissions in Hunan Province from 2000 to 2020 through the Local Indicators of Spatial Association (LISA) ti","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-05-18T12:54:07.046Z","creation":"2025-04-19T06:09:46.493Z"},"accession":"S-EPMC9965788","cross_references":{"pubmed":["36833754"],"doi":["10.3390/ijerph20043062"]}}