Spatiotemporal dynamics of population density in China using nighttime light and geographic weighted regression method*-Reference-Cited by-同舟云学术

Spatiotemporal dynamics of population density in China using nighttime light and geographic weighted regression method*

Published:2023-07-12 Issue:1 Volume:16 Page:2704-2723
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Guo Wei¹²,Liu Jinke¹,Zhao Xuesheng¹,Hou Wei²^ORCID,Zhao Yunxuan¹,Li Yongxing¹,Sun Wenbin¹,Fan Deqin¹

Affiliation:

1. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, People’s Republic of China

2. Chinese Academy of Surveying & Mapping, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Ningxia Hui Autonomous Region Key Research and Development Project

State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2233493

Reference71 articles.

1. Using Daily Nighttime Lights to Monitor Spatiotemporal Patterns of Human Lifestyle under COVID-19: The Case of Saudi Arabia

2. Using Nighttime Lights Data to Assess the Resumption of Religious and Socioeconomic Activities Post-COVID-19

3. An Improved Index for Urban Population Distribution Mapping Based on Nighttime Lights (DMSP-OLS) Data: An Experiment in Riyadh Province, Saudi Arabia

4. DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon

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