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International Conference on Geo-Spatial Knowledge and Intelligence

GSKI 2017: Geo-Spatial Knowledge and Intelligence pp 127–134Cite as

An Intelligent Cartographic Generalization Algorithm Selecting Mode Used in Multi-scale Spatial Data Updating Process

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

Abstract

In multi-scale spatial data updating process, cartographic features vary dramatically with the scales evolution. So, it is the critical step to select suitable cartographic generalization algorithm which can perfectly fulfill the scale-transformation task. This problem is also a main obstacle in the way of automatic spatial data updating. Through deeply studying the flows of multi-scale spatial data updating process, an intelligent cartographic generalization algorithm selecting mode is proposed. Firstly cartographic generalization algorithm base, knowledge base and case base is built in this mode. Secondly, based on the step of resolving the cartographic generalization process into segments, a self-adaption cartographic generalization algorithm selecting architecture is constructed. Thirdly, an intelligent cartographic generalization algorithm selecting and using flow is established and put into effect. Overall, this mode provides a new idea to solve the automatic problem of multi-scale spatial data updating.

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Author information

Authors and Affiliations

  1. Luoyang Electronic Equipment Test Center of China, Luoyang, China

    Junkui Xu, Dong Li, Longfei Cui & Xing Zhang

  2. Zhengzhou Institute of Surveying and Mapping, Zhengzhou, China

    Junkui Xu, Longfei Cui & Xing Zhang

Authors
  1. Junkui Xu
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  2. Dong Li
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  3. Longfei Cui
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  4. Xing Zhang
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Corresponding author

Correspondence to Junkui Xu .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Xu, J., Li, D., Cui, L., Zhang, X. (2018). An Intelligent Cartographic Generalization Algorithm Selecting Mode Used in Multi-scale Spatial Data Updating Process. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_13

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  • DOI: https://doi.org/10.1007/978-981-13-0896-3_13

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0895-6

  • Online ISBN: 978-981-13-0896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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