التفاصيل البيبلوغرافية
| العنوان: |
Space-based Landscape Site Perception: Teaching Principles and Methods for the Basic Course of Landscape Architecture. (English) |
| Alternate Title: |
基于空间的景观场地认知： 景观设计基础课程的教学理念与方法探讨. (Chinese) |
| المؤلفون: |
Jingyi LIU, Chongxian CHEN |
| المصدر: |
Landscape Architecture Frontiers; Aug2023, Vol. 11 Issue 4, p60-77, 18p |
| Abstract (English): |
Replacing abstract form-making training with the perception of landscape site has been an important trend in the basic course of landscape architecture. Based on theoretical research and the authors' teaching practice, this article aims to explore the significance, objects, and methods of site perception training. The authors argue that because landscape design is stemmed from the perception and interpretation of site characteristics, experiencing landscape sites must precede form-making training to become the foundation of design learning. Human-scale spaces that concern elements, structure, processes, and feelings for perception, representation, and design would be a suitable object of focus and the starting point for site perception training in basic courses. Five methods for landscape site perception and representation are introduced then, including sketch of space, sequential sections, notation, sketch model, and spatial structure mapping. These methods provide a visualized and operable pathway for site perception, which also involve preliminary design training, offering a reference for the teaching of site perception in basic courses of landscape architecture. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
以景观场地的认知取代抽象的构成训练正在成为景观设计基础课程教学的重要趋势。然而, 如果缺乏易于 切入的关注对象、易于理解的设计意义和针对设计学习的练习方法, 场地认知练习可能难以实现基础课程的目 标。基于理论分析和教学实践, 本文试图深入探讨场地认知的设计意义、关注对象和练习方法。本文认为, 由 于景观设计源于对场地特质的感悟和调动, 对景观场地的体验需要先于造型训练, 成为设计学习的基础。以人 为尺度的空间实现了要素、结构、过程与感受的连接, 且更易感知、表达和设计, 因而适合作为基础教学中场 地认知的主要对象和切入点。本文介绍了5种景观场地的认知与表达方法, 包括空间速写、剖面序列、谱记、 草图模型和空间结构图析。这些方法为场地认知提供了可视化、可操作的载体, 同时也包含了初步的设计思维 训练, 可为场地认知在景观设计基础教学中的实施提供参考. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
