中文摘要：

目的根据边缘效应的概念，介绍2种校正方法并进行模拟比较，为正确进行空间点模式分析提供指导。方法首先介绍K函数和边缘效应的概念及缓冲区校正法和加权校正法的基本原理，然后分别采用Matern阻抑点过程、Poisson随机点过程和Neyman—Scott聚集点过程在单位正方形区域内模拟产生三种分布模式，点过程的密度分别取10，100，500和1000，选择K函数作为评价指标进行模拟比较。结果当点过程的密度较低时，边缘效应的影响很小，分析时可以不进行校正；当点过程的密度较高时，边缘效应的影响较大，必须进行校正，如果研究尺度较小，加权校正法与缓冲区校正法的效果相近，均较好，当研究尺度较大时加权校正法优于缓冲区校正法。结论加权校正法的效果较好．可以在空间点模式分析中应用。

英文摘要：

Objective To introduce the concept of edge effect, conduct comparisons on two correction methods, and provide a practical direction on doing spatial point pattern analysis. Methods The concepts of K function and edge effect, and the theories of buffer zone method and weighted correction method were first introduced. Then Matern inhibition point process, Poisson point process, and Neyman-Scott point process were accepted to simulate three different spatial point patterns on the unit square of （0, 1）×（0, 1）, whose densities were 10,100,500, and 1 000 respectively. Finally, K function was chosen as the statistic to show the impact of edge effect on the results and compare the results of two different correction methods. Results Edge effect was small and needn＇t to be corrected for a point process of low density, but it was large and must be corrected for a point process with high density. If the study scale was small, both weighted correction method and buffer zone method were very good and their results were similar, but weighted correction method was better than buffer zone method for the larger study scale. Conclusion Weighted correction method could be used to conduct spatial point pattern analysis for reliable and precise results.