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

Abstract

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.

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