Assessing urban renewal opportunities by combining 3D building information and geographic big data-Reference-Cited by-同舟云学术

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Assessing urban renewal opportunities by combining 3D building information and geographic big data

Published:2024-07-17 Issue: Volume: Page:1-17
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Zhao Xin¹²³^ORCID,Xia Nan¹²³,Li ManChun¹²³⁴^ORCID

Affiliation:

1. Jiangsu Provincial Key Laboratory of Geographic Information Technology, School of Geography and Ocean Science, Nanjing University, Nanjing, China

2. Department of Geographic Information Science, Nanjing University, Nanjing, China

3. Collaborative Innovation Center for the South Sea Studies, Nanjing University, Nanjing, China

4. Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Research and Development Program of China

Ministry of Education of Humanities and Social Science Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2378926

Reference55 articles.

1. One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm

2. Sensitivity analysis: A review of recent advances

3. Mapping the fine-scale spatial pattern of housing rent in the metropolitan area by using online rental listings and ensemble learning

4. Decoding the decision-making in the new wave of urban redevelopment in China: A case study of a bottom-up industrial land redevelopment in Shenzhen

5. Understanding the impact of modifiable areal unit problem on urban vitality and its built environment factors

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