Evolution of Urban Spatial Clusters in China: A Graph-Based Method Using Nighttime Light Data
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Title
Evolution of Urban Spatial Clusters in China: A Graph-Based Method Using Nighttime Light Data
Authors
Keywords
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Journal
Annals of the American Association of Geographers
Volume -, Issue -, Pages 1-22
Publisher
Informa UK Limited
Online
2021-06-12
DOI
10.1080/24694452.2021.1914538
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Note: Only part of the references are listed.- Spatiotemporal evolution of urban agglomerations in China during 2000–2012: a nighttime light approach
- (2020) Jian Peng et al. LANDSCAPE ECOLOGY
- Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China
- (2019) Hanqiu Yue et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Mapping Global Urban Areas From 2000 to 2012 Using Time-Series Nighttime Light Data and MODIS Products
- (2019) Zuoqi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A Spatial-Socioeconomic Urban Development Status Curve from NPP-VIIRS Nighttime Light Data
- (2019) Chengshu Yang et al. Remote Sensing
- Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road
- (2018) Kaifang Shi et al. ENERGY
- Decades of urban growth and development on the Asian megadeltas
- (2018) Christopher Small et al. GLOBAL AND PLANETARY CHANGE
- The varying driving forces of urban expansion in China: Insights from a spatial-temporal analysis
- (2018) Guangdong Li et al. LANDSCAPE AND URBAN PLANNING
- Measuring spatio-temporal dynamics of impervious surface in Guangzhou, China, from 1988 to 2015, using time-series Landsat imagery
- (2018) Jianhui Xu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Spatial pattern of urban change in two Chinese megaregions: Contrasting responses to national policy and economic mode
- (2018) Wenjuan Yu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Expansion Analysis of Yangtze River Delta Urban Agglomeration Using DMSP/OLS Nighttime Light Imagery for 1993 to 2012
- (2018) Huimin Lu et al. ISPRS International Journal of Geo-Information
- Multi-scale analysis of the relationship between economic statistics and DMSP-OLS night light images
- (2018) Dolores Jane Forbes GIScience & Remote Sensing
- A global record of annual urban dynamics (1992–2013) from nighttime lights
- (2018) Yuyu Zhou et al. REMOTE SENSING OF ENVIRONMENT
- An Extended Minimum Spanning Tree method for characterizing local urban patterns
- (2017) Bin Wu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Urban agglomeration: An evolving concept of an emerging phenomenon
- (2017) Chuanglin Fang et al. LANDSCAPE AND URBAN PLANNING
- Measuring urban forms from inter-building distances: Combining MST graphs with a Local Index of Spatial Association
- (2017) Geoffrey Caruso et al. LANDSCAPE AND URBAN PLANNING
- Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis
- (2016) Kaifang Shi et al. APPLIED ENERGY
- Changing and Differentiated Urban Landscape in China: Spatiotemporal Patterns and Driving Forces
- (2016) Chuanglin Fang et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Rise of the City
- (2016) SCIENCE
- Spatiotemporal patterns of population in mainland China, 1990 to 2010
- (2016) Andrea E. Gaughan et al. Scientific Data
- An Economic Geography of the United States: From Commutes to Megaregions
- (2016) Garrett Dash Nelson et al. PLoS One
- Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images: a case study of China
- (2014) Bailang Yu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces
- (2014) Wenhui Kuang et al. LANDSCAPE AND URBAN PLANNING
- Normalization of time series DMSP-OLS nighttime light images for urban growth analysis with Pseudo Invariant Features
- (2014) Ye Wei et al. LANDSCAPE AND URBAN PLANNING
- Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data
- (2014) Kaifang Shi et al. Remote Sensing
- A quantitative assessment of the distribution and extent of urban clusters in China
- (2012) Qian Zhang et al. Journal of Geographical Sciences
- Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008
- (2012) Zhifeng Liu et al. LANDSCAPE AND URBAN PLANNING
- Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities
- (2012) Ting Ma et al. REMOTE SENSING OF ENVIRONMENT
- Landscape Urbanization and Economic Growth in China: Positive Feedbacks and Sustainability Dilemmas
- (2011) Xuemei Bai et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Zipf's law for all the natural cities in the United States: a geospatial perspective
- (2011) Bin Jiang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery
- (2010) Christopher N.H. Doll et al. ENERGY POLICY
- A unified theory of urban living
- (2010) Luis Bettencourt et al. NATURE
- Spatial scaling of stable night lights
- (2010) Christopher Small et al. REMOTE SENSING OF ENVIRONMENT
- Revitalizing old industrial base of Northeast China: Process, policy and challenge
- (2008) Pingyu Zhang Chinese Geographical Science
- Research on the Urban Influence Domains in China
- (2008) Shumin Liang INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Laws of population growth
- (2008) H. D. Rozenfeld et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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