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Evolutionary Overview and Prediction of Themes in the Field of Land Degradation

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成果类型:
期刊论文
作者:
Lu, Xinhai;Zhang, Yanwei;Lin, Chaoran;Wu, Feng
作者机构:
[Wu, Feng; Lu, Xinhai; Zhang, Yanwei] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.
[Lu, Xinhai] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.
[Lin, Chaoran] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Peoples R China.
[Lin, Chaoran] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China.
语种:
英文
关键词:
land degradation;latent Dirichlet allocation;hidden Markov model;thematic evolution;thematic prediction
期刊:
Land
ISSN:
2073-445X
年:
2021
卷:
10
期:
3
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71673096]; National 985 Project of Non-traditional Security at Huazhong University of Science and Technology, P.R. China
机构署名:
本校为其他机构
院系归属:
公共管理学院
摘要:
Land degradation has become one of the major global environmental problems threatening human well-being. Whether degraded land can be restored has a profound effect on the achievement of the 2030 UN Sustainable Development Goals. Therefore, the ways by which to identify the current research status and potential research topics in the massive scientific literature data in the field of land degradation is a crucial issue for scientific research institutions in various countries. In view of the shortcomings in the current research on the thematic evolution and thematic and thematic prediction, su...

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