Comparison of methods in analysis of the tree spatial distribution pattern

The L-function based on K-function, the pair-correlation function and the uniform angle index used in analyzing the tree spatial distribution pattern were compared on the basis of the data from 5 actual plots and 30 simulated plots. It was concluded that the pair-correlation function and the uniform angle index were more accurate than the L-function; the uniform angle index was more effective and feasible than the L-function and the pair-correlation function; the uniform angle index has an additional advantage that it could combine qualitative and quantitative analyses by using the distribution diagram of the uniform angle index and the average valueW .     

Comparison of methods in analysis of the tree spatial distribution pattern

The L-function based on K-function, the pair-correlation function and the uniform angle index used in analyzing the tree spatial distribution pattern were compared on the basis of the data from 5 actual plots and 30 simulated plots. It was concluded that the pair-correlation function and the uniform angle index were more accurate than the L-function; the uniform angle index was more effective and feasible than the L-function and the pair-correlation function; the uniform angle index has an additional advantage that it could combine qualitative and quantitative analyses by using the distribution diagram of the uniform angle index and the average valueW .     

林木空间分布格局分析方法

采用5块实地调查样地和30块模拟样地,通过基于Ripley K-函数的L-函数、双相关函数和角尺度方法在林木空间分布格局研究中的比较分析,得出如下结论:双相关函数和角尺度在判断的准确性方面优于L-函数;角尺度在有效性和可行性方面比L-函数和双相关函数更强,并且它能利用角尺度分布图和均值同时作定性和定量分析,从而使其优势更加明显。