传统聚落景观基因的识别与提取方法研究

A Novel Method for Identifying and Separating Landscape Genes from Traditional Settlements

近年来,由中国学者提出的传统聚落景观基因理论在传统聚落区划、特征识别和旅游规划等领域得到了广泛的应用。然而,该理论还缺乏有效的景观基因识别方法。针对前述问题,结合实践探讨了传统聚落景观基因的特征解构提取方法和识别模式。首先,分析了传统聚落景观基因的分类方法并结合面向对象的思想提出了面向对象的景观基因分类模式(OOCPLG),这为构建特征解构提取方法奠定了理论基础。其次,通过分析景观识别的要求,结合现有的元素提取、图案提取、结构提取和含义提取的不足与优点,建立了特征解构的基因提取方法。最后,总结了景观基因的识别模式和基本操作流程。

In China, tens of hundreds of traditional settlements carry huge scientific and social value. It is very significanct that we perform a lot researches on these traditional settlements by employing the Theory of Landscapes＇ Genes of Traditional Settlements（TLGTS）. However, TLGTS still lacks efficiency identifying methods for separating the landscape genes from the traditional settlements according to the current reports. This maybe impedes TLGTS＇application in the future. In order to solve this issue, this article constructs a novel identifying method for separating the landscape genes from traditional settlements by the former pertinent work. Firstly, the author defines a new classifying framework for landscape gene by comparing the existing classifying methods.Then,we further define a novel classifying mode by linkage the object-oriented analysis methods and landscape gene elements. Actually, this framework sets up a concrete theoretical foundation for identifying/separating landscape genes. This classifying method for landscape gene is named as Object-Oriented Classifying Pattern for Landscape Gene（OOCPLG）. Secondly, with the aforementioned theoretical research results, we put forward a useful extracting method for landscape gene by comparing the typical existing methods, such as elements identifying, pattern separating, structure analysis, definition interpreting, et al. According to these, we name the method as Features Decomposing Extraction for Landscape Gene Separating（FDELGS）. In order to clarify the method well, we further develop some identifying operation rules and basic modes for landscape gene by introducing the Wholeness Conception. These rules and modes can make people sure catching a real traditional settlement landscape. According to the former research experiences and classification skills, an available technical identifying workflow is also draw for running FDELGS is also draw if someone want to launch some identifying tasks. Lastly, according to the aforementioned theoretical results, this article introduces an integrity instance case by using FDELGS.