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A Construction Method of Road and Residence Correlation Based on Urban Skeleton Network

  • Chuang Liu
  • Haizhong QianEmail author
  • Haiwei He
  • Xiao Wang
  • Limin Xie
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 699)

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.

Keywords

Urban skeleton line Coordination cartographic generalization Correlation Restraint Delaunay triangulation network 

Notes

Acknowledgment

The work described in this paper was supported by the Project of National Natural Science Foundation of China (Numbers: 41171305; 41571442).

References

  1. 1.
    Wang, P., Doihra, T.: Automatic generalization of road and buildings: ISPRS Congress Istanbul 2004. In: Proceedings of Commission IV, Istanbul (2004)Google Scholar
  2. 2.
    Revell, P., Regnauld, N., Thom, S.: Generalising OS MasterMap, topographic buildings and ITN road centerlines to 1:5000 scale using a spatial hierarchy of agents, triangulation and topology. International Cartographic Conference, A Caruna, Spain (2005)Google Scholar
  3. 3.
    Qian, H., Wu, F., Zhu, K., et al.: A generalization method of street block based on dimension-reducing technique. Acta Geodaetica Cartogr. Sin. 36(1), 102–107 (2007)Google Scholar
  4. 4.
    Deng, H.: A study of automated cartographic generalization based on design for quality. Information Engineering University, Zhengzhou (2006)Google Scholar
  5. 5.
    He, H., Qian, H., Wang, X., et al.: Avoiding special conflicts in road simplification by using road bends. Acta Geodaetica Cartogr. Sin. 45(3), 354–361 (2016)Google Scholar
  6. 6.
    Wang, X., Qian, H., He, H., et al.: Matching multi-source areal habitations with skeleton line mesh of blank region. Acta Geodaetica Cartogr. Sin. 44(8), 927–935 (2015)Google Scholar
  7. 7.
    Hu, Y., Chen, J., Li, Z., et al.: Selective omission of road features based on mesh density for digital map generalization. Acta Geodaetica Cartogr. Sin. 36(3), 351–357 (2007)Google Scholar
  8. 8.
    Liu, H., Qian, H., Wang, X., et al.: Road networks global matching method using analytic hierarchy process. Geomat. Inf. Sci. Wuhan Univ. 40(5), 644–650 (2015)Google Scholar
  9. 9.
    Huang, Z., Qian, H., Guo, M., et al.: Matching algorithm of polygon habitations based on their skeleton-lines using fourier transform. Acta Geodaetica Cartogr. Sin. 42(6), 913–921 (2013)Google Scholar
  10. 10.
    Hua, Y., Wu, S., Zhao, J.: Principal and Method of GIS. Beijing, 30–31 (2000)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Chuang Liu
    • 1
  • Haizhong Qian
    • 1
    Email author
  • Haiwei He
    • 1
  • Xiao Wang
    • 1
  • Limin Xie
    • 1
  1. 1.Zhengzhou Institute of Surveying and MappingZhengzhouChina

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