Digital Extraction and Quantitative Study of Regional Cultural Elements in Landscape Design
Main Article Content
Abstract
Preserving regional cultural identity in landscape design requires systematic approaches capable of transforming cultural characteristics into quantifiable design elements. This study proposes a methodological framework integrating digital extraction, parametric translation, and multidimensional evaluation to support data-driven cultural landscape design. A digital database of regional cultural elements is established using 3D laser scanning, multispectral imaging, and semantic text mining technologies. Extracted cultural parameters are translated into spatial generation rules through a parametric design platform, enabling algorithm-driven landscape creation. Quantitative evaluation combining spatial syntax analysis, behavioral observation, and user perception assessment is then employed to verify design effectiveness. A case study based on a Jiangnan water-town cultural landscape demonstrates that the proposed method significantly improves both spatial integration and cultural identity perception. The study provides a systematic pathway for cultural information modeling and offers methodological references for spatial data analysis, multispectral sensing, and digital landscape generation.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
E. T. Eren, E. M. Alpak, and T. Düzenli, “Color associations in landscape design and subscription levels to these associations,” Environmental Science and Pollution Research, vol. 29, no. 47, pp. 70842-70861, 2022, doi: 10.1007/s11356-022-20819-5.
L. Wang, “Application of computer aided design technology in landscape design,” Advances in Computer, Signals and Systems, vol. 8, no. 1, pp. 81-87, 2024, doi: 10.23977/acss.2024.080109.
Y. Huang and X. Liang, “Research on Landscape Design Optimization and Spatial Layout Planning Method Based on AI Algorithm,” J. COMBIN. MATH. COMBIN. COMPUT., vol. 127, no. 1, pp. 7019-7036, 2025, doi: 10.61091/jcmcc127b-383.
E. Erdoğan and O. Aksoy, “Futurism In Landscape Design: An Experimental Park Design In Ankara, Mogan Lake,” GRID-Architecture Planning and Design Journal, vol. 7, no. 2, pp. 624-653, 2024, doi: 10.37246/grid.1393710.
Q. Zhu, P. Yao, and J. Li, “The effect of nature-based landscape design on human health and well-being: a thematic synthesis,” Journal of Environmental Engineering and Landscape Management, vol. 33, no. 1, pp. 55-71, 2025, doi: 10.3846/jeelm.2025.22944.
L. Li and W. Chung, “Application of artificial intelligence in visual communication of green urban rural integration landscape design,” Ecological Chemistry and Engineering, vol. 31, no. 4, pp. 583-597, 2024, doi: 10.2478/eces-2024-0038.
Y. Yang, M. Ignatieva, A. Gaynor, et al., “Towards a conceptual design framework for bee botanic gardens: integrating perceptions on urban biodiversity into landscape design processes,” Urban Ecosystems, vol. 27, no. 6, pp. 2613-2633, 2024, doi: 10.1007/s11252-024-01589-z.
M. Mao and S. U. Lingjun, “Rural revitalization construction and local landscape design: A case study of qili village, aijia town, dianjun district,” Yichang. Journal of Landscape Research, vol. 14, no. 2, pp. 33-38, 2022, doi: 10.16785/j.issn1943-989x.2022.2.007.
A. Ren and Z. Chen, “Building multimedia interactive landscape design platform based on genetic algorithm,” Computer-Aided Design and Applications, vol. 21, no. S2, pp. 46-59, 2024, doi: 10.14733/cadaps.2024.S25.46-59.
X. Zhou and X. Wu, “Landscape transparency: An approach to elucidating and harmonizing contradictions in contemporary landscape design,” Frontiers of Architectural Research, vol. 14, no. 2, pp. 510-524, 2025, doi: 10.1016/j.foar.2024.07.012.
S. Shareef, “The influence of greenery and landscape design on solar radiation and UHI mitigation: a case study of a boulevard in a hot climate,” World, vol. 3, no. 2, pp. 175-205, 2022, doi: 10.3390/world3020010.
M. Wang, “Maximizing the beauty of ceramic art application in landscape design under the background of artificial intelligence,” Journal of Multimedia Information System, vol. 10, no. 4, pp. 371-382, 2023, doi: 10.33851/JMIS.2023.10.4.371.
DESAIN E. K. T. K. B., “Performance evaluation of city parks based on sustainable landscape design in Jakarta,” Jurnal Pembangunan Wilayah dan Kota, vol. 18, no. 2, pp. 150-163, 2022, doi: 10.14710/pwk.v18i2.37887.
B. Ma, Y. Dong, H. Liu, et al., “Soft multimedia assisted new energy productive landscape design based on environmental analysis and edge-driven artificial intelligence,” Soft Computing, vol. 26, no. 23, pp. 12957-12967, 2022, doi: 10.1007/s00500-021-06155-9.
G. Limor-Sagiv, N. Lissovsky, and N. Angel, “Israel’s largest landfill rehabilitation: creative landscape design as a catalyst for a functioning metropolis,” Planning Perspectives, vol. 39, no. 2, pp. 259-283, 2024, doi: 10.1080/02665433.2023.2272752.