Geo-spatial Classification Dataset of Rural Gentrification in Nanjing, China (2020)
WANG Hui1YE Ling*2SONG Weixuan3
1 Nanjing Academy of Urban Planning & Design，Nanjing 210037，China2 School of Geographic Sciences，East China Normal University，Shanghai 200062，China3 College of Geography and Remote Sensing，Key Laboratory of Soil and Water Processes in Watershed，Hohai University，Nanjing 211100，China
DOI:10.3974/geodb.2025.03.02.V1
Published:Mar. 2025
Visitors：821 Data Files Downloaded：19
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Key Words：
Nanjing villages, Geo-spatial classification, gentrification, social space, 2020
Abstract：
The Geo-spatial Classification Dataset of Rural Gentrification in Nanjing, China (2020) was developed based on the 534 rural communities in Nanjing, employing mobile user portrait data, a quantitative evaluation clustering model, and comparative analysis of typical cases. The dataset includes: (1) mobile user portrait data for 534 rural communities in Nanjing, including population size, occupational structure, consumption level, household assets, scale changes, job-housing differences, and non-local population distribution; (2) classification of the 534 rural communities into three categories based on the degree of gentrification: Gentrified Villages, Villages with Gentrification Potential, and Non-Gentrified Rural Villages. The dataset is archived in .shp and .xlsx data formats, consists of 8 data files with data size of 3.15 MB (compressed into one single file with 1.90 MB). The scientific findings based on the dataset was published at the Acta Geographica Sinica, Vol.80, No.3, 2025.
Foundation Item：
National Natural Science Foundation of China (42171234)；
Data Citation：
WANG Hui, YE Ling*, SONG Weixuan. Geo-spatial Classification Dataset of Rural Gentrification in Nanjing, China (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.03.02.V1.
References：
He, S. J., Qian, J. X., Xu, Y. X., et al. Spatial-temporal evolution of rural gentrification amidst rapid urbanization: A case study of Xiaozhou Village, Guangzhou. Acta Geographica Sinica, 2012, 67(8): 1044-1056.
Data Product:
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Data Name |
Data Size |
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RuralGentrificationNanjing2020.rar |
1947.83KB |
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