Visibility Analysis of Core Urban Landscape Based on Grasshopper

  • Shaofeng Hou
  • Yike HuEmail author
  • Fengyun Yang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 980)


Currently, as for the design of the space surrounding urban landscape, such factors as visual effect have been rarely taken into consideration, which provides citizens with poor visual experience. This article, proceeding from the landscape-borrowing theory in traditional Chinese gardening, places emphasis on the city-landscape interaction in Tianjin. With the core landscape in Tianjin as an example, the Grasshopper parameterization plug-in based on the Rhino platform is adopted, for the sake of visibility analysis. By means of the visual-accessibility analysis, the visual characteristics of the viewing object are shown based on the visual-domain analysis. On basis of the relationship between obstacles and lattice density, a method for visibility analysis of core landscape is proposed. The method aims to determine the integrity of the viewing object with the aid of visual-domain analysis, and then identify the top-quality urban space full of enjoyment.


City-landscape interaction Visibility analysis Grasshopper Site design 


  1. 1.
    Ying, S.: Key techniques and applications of spatial visual analysis. Wuhan University (2005). 应申. 空间可视分析的关键技术和应用研究[D]. 武汉大学, 2005Google Scholar
  2. 2.
    Yin, C., Xu, W.: Study on visibility analysis model of urban planning based on 3DGIS. Surv. Mapp. Sci. 36(04), 142–144 (2011). 尹长林,许文强.基于 3DGIS 的城市规划可视性分析模型研究[J].测绘科学,2011,36(04):142-144Google Scholar
  3. 3.
    Gu, H., Zheng, S.: Research on landscape space based on visual diagram and visual analysis–a case study of Chongqing Sichuan opera art center. Chin. Landsc. 30(09), 37–41 (2014). 顾红男,郑生.基于可视性图解与视域分析的园林空间造景研究——以重庆市川剧艺术中心为例[J].中国园林,2014,30(09):37-41Google Scholar
  4. 4.
    Jin, H., Li, L., Yuan, S., Geng, W.: A visual analysis algorithm for three-dimensional urban buildings. Bull. Surv. Mapp. (01), 103–106 (2018). 靳海亮,李留磊,袁松鹤,耿文轩.一种用于三维城市建筑物的可视域分析算法[J].测绘通报,2018(01):103-106Google Scholar
  5. 5.
    Yang, Y., Gu, W., Liu, M., Wang, S.: From traditional garden analysis methods to Ecotect analysis based landscape scene analysis. Shandong For. Technol. 44(02), 110–113 (2014). 杨永峰,顾维志,刘萌萌,王帅.从传统园林分析方法到以 Ecotect Analysis 为基础的园林场景分析[J].山东林业科技,2014,44(02):110-113Google Scholar
  6. 6.
    Li, L.: Eye control based on RhinoScript and its application – a case study of the education camp project in Qinhuai District, Nanjing. New building, (06), 72–75 (2010). 李力.基于 RhinoScript 的视线控制及其应用——以南京市秦淮区教敷营地块改造项目为例[J].新建筑,2010(06):72-75Google Scholar
  7. 7.
    Teng, Q., Sun, S., Mijin-Zhong: The detection of urban hot spots in the geospatial data of Zhongyuan. Surv. Mapp. Sci. 43(05), 74–80 (2008). 滕巧爽,孙尚宇,秘金钟.众源地理空间数据的城市热点区域探测[J].测绘科学,2018,43(05):74-80Google Scholar
  8. 8.
    Wang, M., Li, Q., Hu, Q., Zhou, M.: Quality evaluation method of street map spatial data oriented toward Zhongyuan. J. Wuhan Univ. (Inf. Sci. Ed.) 38(12), 1490–1494 (2013). 王明,李清泉,胡庆武,周檬.面向众源开放街道地图空间数据的质量评价方法[J].武汉大学学报(信息科学版),2013,38(12):1490-1494Google Scholar
  9. 9.
    Heipke, C.: Crowdsourcing geospatial data. ISPRS J. Photogramm. Remote. Sens. 65(6), 550–557 (2010)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of ArchitectureTianjin UniversityTianjinChina
  2. 2.School of ArchitectureHebei University of EngineeringHandanChina

Personalised recommendations