| 2019 9th International Conference on Future Environment and Energy | |
| Quantitative analysis on the sustainable development of four municipalities in China | |
| 生态环境科学;能源学 | |
| Shen, Q.R.^1 ; Tian, H.^1 ; Han, X.Y.^1 ; Zhang, H.^2 ; Sun, W.^1 | |
| Key Lab of Membrane Science and Technology, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing | |
| 100029, China^1 | |
| School of Chemistry and Chemical Engineering, Southwest University, Chongqing | |
| 400715, China^2 | |
| 关键词: Development history; Development patterns; Economic development; Geographical locations; Hierarchical clustering analysis; Intrinsic characteristics; Pearson correlation coefficients; Social economic factors; | |
| Others : https://iopscience.iop.org/article/10.1088/1755-1315/257/1/012012/pdf DOI : 10.1088/1755-1315/257/1/012012 |
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| 学科分类:环境科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
Due to the geographical location, development history and many other social-economic factors, the economic development of each city displays significant difference from each other. It is hard to characterize the economic development of a city by only looking at one or two measurements, which is only one aspect of a city. A snap shot of a city with all of its data information could provide its holographic image. With its evolution along time, the image can be even more impressive, but is still hard to compare with its peer cities given its multivariate nature. From system point of view, no matter how complicate the appearance of a system is, it will be always associated to its intrinsic characteristics. In this work, data from four municipalities in China are analysed quantitatively to discuss different development patterns by Pearson Correlation Coefficient and Hierarchical Clustering Analysis methods, correlation of factors and urban development patterns are clearly obtained and explained.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Quantitative analysis on the sustainable development of four municipalities in China | 1033KB |
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