Abstract
For road and residence in large-scale urban map data are separated from each other, it is difficult to study their correlation. However, as road is tightly related to residence, it is necessary to deeply explore the connection and establish the clear correlation between them. In the paper, excellent characteristics of urban skeleton network were utilized to establish distinct correlation between road and residence and new comprehensive idea were provided for overall collaboration and integration of road and residence.
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Acknowledgment
The work described in this paper was supported by the Project of National Natural Science Foundation of China (Numbers: 41171305; 41571442).
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Liu, C., Qian, H., He, H., Wang, X., Xie, L. (2017). A Construction Method of Road and Residence Correlation Based on Urban Skeleton Network. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_31
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DOI: https://doi.org/10.1007/978-981-10-3969-0_31
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