Spatio-temporal Evolution Dataset on Community Structure of City Clusters in Middle Reaches of the Yangtze River (2000-2014)
GAO Peng1HE Dan2NING Yuemin3
1 Shanghai Institue for Global Cities，Shanghai Normal University，Shanghai 200234，China2 School of Urban & Regional Science，East China Normal University，Shanghai 200241，China3 The Center for Modern Chinese City Studies，East China Normal University，Shanghai 200062，China
DOI:10.3974/geodb.2021.08.10.V1
Published:Aug. 2021
Visitors：2903 Data Files Downloaded：76
Data Downloaded：23.11 MB Citations：
Key Words：
spatial correlation network,city community,spatio-temporal evolution,city clusters in middle reaches of the Yangtze River
Abstract：
Based on the State Council Plan of City Clusters in the Middle Reaches of the Yangtze River in 2015, the scope of the cluster is defined as 1 city in sub provincial level, 27 cities in prefecture level and 3 in county-level in Hubei, Hunan and Jiangxi provinces, with a total of 178 counties. On the basis of more than 10 thousands national enterprise credit information system, we obtained the data of headquarters and branches of producer service enterprises and then constructed spatial correlation network of city clusters in middle reaches of the Yangtze River. Using community detection algorithm including Module degree, PageRank value and alluvial diagram, we analyzed the spatio-temporal evolution characteristics of community structure of city clusters in middle reaches of the Yangtze River from 2000 to 2014. The dataset consists of the following data: 1) matrix data of spatial correlation network; 2) PageRank value data; 3) Module degree data; 4) city community division data; 5) inter-city community’s connectivity data. The dataset is archived in .xlsx format with data size of 311 KB. The analysis paper related to the dataset was published in Scientia Geographica Sinica, Vol. 39, No.4, 2019.Browse
Foundation Item：
Ministry of Education of P. R. China (17JJD790007); Shanghai (2021BSH001)
Data Citation：
GAO Peng, HE Dan, NING Yuemin.Spatio-temporal Evolution Dataset on Community Structure of City Clusters in Middle Reaches of the Yangtze River (2000-2014)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.08.10.V1.
GAO Peng, HE Dan, NING Yuemin. Spatio-temporal dataset on city community structure in middle reaches of Yangtze River (2000?2014) [J]. Journal of Global Change Data & Discovery, 2021, 6(1): 111–117.
References：
[1] Ning, Y. M. The development and constructionof Chinese city cluster [J]. Regional Economic Review, 2016(1): 124-130.
[2] Alderson, A. S., Beckfield, J., Jessica, S. J. Intercity relations and globalization: The evolution of the global urban hierarchy, 1981-2007 [J]. Urban Studies, 2010, 47(9): 1899-1923.
[3] Ducruet, C., Beauguitte, L. Spatial science and network science: Review and outcomes of a complex relationship [J]. Networks and Spatial Economics, 2014(14): 297-316.
[4] Farmer, C., Fotheringham, A. Network-based functional regions. Environment and Planning A, 2011, 43(11): 2723-2741.
[5] Pan, F. H., Fang, C., Li, X. D. The progress and prospect of research on Chinese city network [J]. Scientia Geographica Sinica, 2019, 39(7): 1093-1101.
[6] Li, X. J., Zhang, P., Di, Z., et al. Community structure in complex networks [J]. Complex System and Complexity Science, 2008, 5(3): 19-41.
[7] Hu, X. W. Spatial nesting of city group and regional coordinated development pathway [J]. Shanghai Urban Management, 2017(2): 18-23.
[8] He, D., Sun, Z., Gao, P. Development of economic integration in the Central Yangtze River megaregion from the perspective of urban network evolution [J]. Sustainability, 2019(11): 5401.
[9] Gao, P., He, D., Sun, Z. J., et al. Characterizing functionally integrated regions in Central Yangtze River Megaregion from a city-network perspective [J]. Growth and Change, 2020(51): 1357-1379.
[10] Gao, P., He, D., Ning, Y. M., et al. Community structure and proximity Mechanism of City Clusters in Middle Reach of the Yangtze River: Based on producer service firms’ network [J]. Scientia Geographica Sinica, 2019, 39(4): 578-586.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_CommunityStructure_MRYR.pdf | 1038.00kb | DownLoad |
| 1 |
CommunityStructure_MRYR.xlsx |
311.36KB |
|