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Geovisualization: an optimization algorithm of viewpoint generation for 3D cadastral property units

Author

Listed:
  • Lvhua Wang

    (Nanjing University of Information Science and Technology (NUIST)
    Nanjing Guotu Information Industry Co., Ltd)

  • Xinxin Zhou

    (Nanjing University of Posts and Telecommunications
    Key Lab of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing
    Nanjing Guotu Information Industry Co., Ltd)

  • Jian Shen

    (Nanjing Guotu Information Industry Co., Ltd)

  • Shuting Zhou

    (Nanjing University of Information Science and Technology (NUIST))

Abstract

Large amounts of geographical and property rights information are contained in 3D cadastral property units, although the amount of cadastral information expressed from various perspectives varies. Therefore, it is crucial to choose a perspective that is compatible with human visual perception and conveys the most data as the perspective changes. This paper proposes an optimization method for generating the optimal view of 3D cadastral property units to address the above issues. The construction of candidate perspectives is the first step, followed by the calculation of feature values, including visibility of 3D boundary points under each candidate perspective, visible area ratio, and visual comfort. Then, an improved particle swarm optimization technique is used to determine the optimal view of 3D cadastral property units and the ideal viewpoint for the expected input model. The research results show that the selected optimal viewpoint fully considers human visual comfort, can accommodate a large amount of cadastral information, and can be used as a mapping drawing in social applications of 3D cadastral systems. This viewpoint can effectively supplement front views, side views, and axis side views, enabling more visual information to be transmitted in 3D religion maps and 3D property right maps and improving readability.

Suggested Citation

  • Lvhua Wang & Xinxin Zhou & Jian Shen & Shuting Zhou, 2024. "Geovisualization: an optimization algorithm of viewpoint generation for 3D cadastral property units," Journal of Geographical Systems, Springer, vol. 26(1), pages 91-116, January.
    • Handle: RePEc:kap:jgeosy:v:26:y:2024:i:1:d:10.1007_s10109-023-00429-6
    DOI: 10.1007/s10109-023-00429-6
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    References listed on IDEAS

    as
    1. Shen Ying & Chengpeng Li & Naibin Chen & Yizhen Jia & Renzhong Guo & Lin Li, 2021. "Object Analysis and 3D Spatial Modelling for Uniform Natural Resources in China," Land, MDPI, vol. 10(11), pages 1-22, October.
    2. Larsson, Karolina & Paasch, Jesper M. & Paulsson, Jenny, 2020. "Representation of 3D cadastral boundaries - From analogue to digital," Land Use Policy, Elsevier, vol. 98(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    3D cadastre; Property units; Particle swarm optimization; Weight function; Optimal perspective;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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