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在造林立地分类中,构成立地类型诸因子的生态作用是错综复杂的。立地类型界线常带有“模糊性”,难以截然分开。应用航片判读技术,结合模糊聚类分析,能客观地进行定量分析,准确地划分立地类型。本文根据宜兴县林场航片判读结合实测获得的样本资料,应用模糊聚类知识进行立地分类,取得了较为满意的效果。将航片判读结合实测得到的82个样本,经数量化,应用模糊聚类分析的模糊等价矩阵和最大树法,由微机运算。当λ取0.9992时,将试验区分成15个立地型。分析各类型生态环境特点表明,各类型能充分反映主导因子的综合作用,分类结果比较合理。通过研究证明,构成样本的因子原始数据采用等级系数是比较理想的。它不需作正规化或标准化处理,没有因子量纲的差异。因此在造林立地的模糊聚类分析时,作为样本性状数值是可取的。
In the classification of afforestation sites, the ecological functions of the various factors that make up the site type are complex. Site type boundaries often with “ambiguity”, it is difficult to completely separate. The application of aerial interpretation technology, combined with fuzzy clustering analysis, can objectively quantitative analysis, accurate classification of site type. In this paper, based on the sample data obtained from the aerial photographs of forest farms in Yixing County combined with the measured data, the application of fuzzy clustering knowledge to site classification has achieved satisfactory results. According to the aerial photograph interpretation combined with the measured 82 samples, the numerical calculation is carried out by computer using the fuzzy equivalent matrix and the maximum tree method of fuzzy clustering analysis. When λ takes 0.9992, the experiment is divided into 15 sites. Analysis of the characteristics of various types of ecological environment shows that all types can fully reflect the combined effect of dominant factors and the classification results are reasonable. The research proves that it is ideal to use the grade coefficient to form the factor raw data of the sample. It does not need to be normalized or standardized, there is no factor dimension difference. Therefore, it is advisable to take the value of sample traits in the fuzzy clustering analysis of afforestation site.