Comparing machine learning methods for predicting land development intensity

Guanhai Gu; Bin Wu; Wenzhu Zhang; Rucheng Lu; Xiaoling Feng; Wenhui Liao; Caiping Pang; Shengquan Lu

doi:10.1371/journal.pone.0282476

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Open Access

Peer-reviewed

Research Article

Comparing machine learning methods for predicting land development intensity

Guanhai Gu,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China

https://orcid.org/0000-0001-8351-6595

⨯
Bin Wu,

Roles Funding acquisition, Project administration, Visualization, Writing – review & editing

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China
⨯
Wenzhu Zhang ,

Roles Formal analysis, Investigation, Writing – review & editing

* E-mail: Zhangwz@nnnu.edu.com

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China

https://orcid.org/0000-0002-4366-7716

⨯
Rucheng Lu,

Roles Funding acquisition, Resources, Writing – review & editing

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China
⨯
Xiaoling Feng,

Roles Methodology

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China
⨯
Wenhui Liao,

Roles Methodology

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China
⨯
Caiping Pang,

Roles Formal analysis

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China
⨯
Shengquan Lu

Roles Writing – original draft

Affiliation School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanjing, China
⨯

Comparing machine learning methods for predicting land development intensity

Guanhai Gu,
Bin Wu,
Wenzhu Zhang,
Rucheng Lu,
Xiaoling Feng,
Wenhui Liao,
Caiping Pang,
Shengquan Lu

Published: April 5, 2023
https://doi.org/10.1371/journal.pone.0282476

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China
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