Spatial Analysis of Chinese Garden Designs with Machine Learning
Spatial Analysis of Chinese Garden Designs with Machine Learning
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DOI：
10.52842/conf.caadria.2003.541
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
C. Kuo
中科院分区：
文献类型：
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作者：
C. Kuo
本研究旨在结合空间理论、资料探勘、物件概念及网路式资料结构，提出一套分析中国园林设计的方案。中国园林的设计元素是根据空间理论，在现有的园林中放置在一个网络中。然后将收集的网络划分为通过其关系连接的元素对，并存储在数据库中。之后，应用数据挖掘从节点和关系对中获得模式。同时，同一级别的元素可以分类，数据分组可以由实现本身完成。通过本研究，我们可以了解中国园林设计中的空间信息和元素之间的关系。其结果是一套更简洁和结构化的描述，揭示了中国园林设计背后的节奏，可以是一个伟大的教学援助。
This research intends to propose a scheme for analyzing Chinese Garden Design by incorporating spatial theory, data mining, concept of object, and network-like data structure. Design elements of Chinese garden are placed in a network according to the existing gardens according to spatial theory. Collected networks are then divided into pair of elements connected by their relationship and stored in a database. Later, data mining is applied to attain patterns from the node-and-relationship pairs. Meanwhile, the elements of the same level can be classified and data grouping can be done by the implementation itself. Thru this research, we can gain insight upon the spatial information and relationship between elements of Chinese garden designs. The result is a set of more concise and structural descriptions, which reveals the rhythm behind the Chinese garden design and can be a great pedagogical aid.