Redefining the boundaries of Chinese cities—Analysis based on multisource geographical big data
Authors:
- Jun CangJCJun Cang
- Peipei WuPWPeipei Wu
- Shanlang LinSLShanlang Lin
Abstract
No abstract availableKeywords
Funding Information
- Shanghai Planning Office of Philosophy and Social Science
- Ministry of Education of the People's Republic of China
This publication has 46 references indexed in Scilit:
- Ghost cities of China: Identifying urban vacancy through social media dataCities, 2019
- The detection of natural cities in the Netherlands—Nocturnal satellite imagery and Zipf’s lawReview of Regional Research, 2018
- “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River DeltaApplied Geography, 2017
- Evaluating cities' vitality and identifying ghost cities in China with emerging geographical dataCities, 2017
- Redefining Chinese city system with emerging new dataApplied Geography, 2016
- Evaluating the effectiveness of urban growth boundaries using human mobility and activity recordsCities, 2015
- Geospatial analysis requires a different way of thinking: the problem of spatial heterogeneityGeoJournal, 2014
- Shrinking cities: Notes for the further research agendaCities, 2013
- Urban growth boundaries of the Beijing Metropolitan Area: Comparison of simulation and artworkCities, 2013
- China’s urban expansion from 1990 to 2010 determined with satellite remote sensingChinese Science Bulletin, 2012