Page 38 - JCAU-6-3

Journal of Chinese
Architecture and Urbanism Multidimensional image of Guilin’s central space

Funding Visualization. Guangxi University. Nanning

This work was conducted with the support of the Jian, H., Hanna, O. P., Dorota, K. Z., Yiming, S., & Lishuai, L.
Special Fund for Fundamental Research for the Central (2021). The image of the city on social media: A comparative
Universities (No. YX2013-18); Open Project of State Key study using “Big Data” and “small data” methods in the Tri-
City Region in Poland. Landscape and Urban Planning, 206,
Laboratory of Subtropical Architectural Science of South 103977.
China University of Technology (No. 2019ZB07); and
Special Fund for Construction of World-Class Disciplines Jiang, D. (2023). Research on the Digital Transformation of Urban
and Characteristic Development Guidance of Beijing Imagery in the Bell and Drum Tower Area on the Central Axis
Forestry University (No. 2019XKJS0319). of Beijing. China: North China University of Technology.
Jiang, J., Zhou, X., Fan, J., et al. (2022). Research on metropolitan
Conflict of interest rural image design in Shanghai: To construct the five-
The author declares no conflict of interest. elements framework of rural spatial image. Shanghai Urban
Planning Review, 32(5):80-87.
Author contributions Li, N. (2018). Research on spatial optimization based on the
Conceptualization: Danyan Liao, Jingwen Wang comparison of urban image and spatial syntax. Residential
and Real Estate, 24(5):224.
Formal analysis: Danyan Liao, Fei Ouyang, Yiyan Mo
Investigation: Danyan Liao, Fei Ouyang, Yiyan Mo Li, Y., Rong, L., & Liu, S. (2010). Preliminary Location Analysis
Methodology: Danyan Liao, Fei Ouyang, Yiyan Mo Based on Space Syntax-Taking the Planning and Design
Writing – original draft: Danyan Liao, Fei Ouyang, Yiyan Mo of Ruyi Headquarters Base in Hohhot as an Example. In:
Writing – review & editing: Danyan Liao, Jingwen Wang China Urban Planning Society, Chongqing Municipal People’s
Government. Planning Innovation: 2010 China Urban
Ethics approval and consent to participate Planning Annual Conference. 9.
Not applicable. Liang, R. (2019). Research on Guilin tourism destination image
perception based on network text analysis. Journal of
Consent for publication Guangxi Radio and Television University, 30(3):85-88.
Verbal permission was obtained from each of the human Lyu, Z., & Fang, C. (2023). Nanjing city image based on social
media image analysis. Huazhong Architecture, 41(9):110-113.
subjects to participate in the study.
Ma, Y. (2017). A new method of public POE based on network
Availability of data information analysis. New Architecture, 4(6):62-65.

The raw/processed data required to generate the findings Qin, Q., Xiao, D., Luo, M., & Tao, J. (2020). A study on the
in this study cannot be shared at this time, as this data also classification of traditional village images based on
forms part of an ongoing study. convolutional neural network. Rural Planning, 44(7):52-58.
https://doi.org/10.11819/cpr20200708a
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Volume 6 Issue 3 (2024) 14 https://doi.org/10.36922/jcau.1032