Mixed-use urban land parcels identification integrating geospatial data and machine learning-Reference-Cited by-同舟云学术

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Mixed-use urban land parcels identification integrating geospatial data and machine learning

Published:2024-09-04 Issue: Volume: Page:1-14
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Qu Shijin¹²^ORCID,Wang Hui³^ORCID,Hu Zongnan¹²^ORCID,Wang Zhenzhen¹²^ORCID,Hu Shougeng¹²^ORCID

Affiliation:

1. School of Public Administration, China University of Geosciences, Wuhan, China

2. Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan, China

3. Department of Geosciences, Mississippi State University, Starkville, MS, USA

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2374996

Reference60 articles.

1. Integrated research on land-use changes in the face of urban transformations – An analytic framework for further studies

2. Random forest in remote sensing: A review of applications and future directions

3. Large-scale urban building function mapping by integrating multi-source web-based geospatial data

4. Change in land use structure in urban China: Does the development of high-speed rail make a difference

5. Urban land administration and planning in China: Opportunities and constraints of spatial data models

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