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Application of Statistical Method of Spatial Point Process in Forestry

空间点过程统计方法在森林学中的应用

摘要


本文使用空间点过程中的一元J函数,多元J函数分析了美国兰辛森林数据,获得了许多有价值的结果。我们的结果显示了空间点过程统计分析方法对理解一片森林中各种树形成分布的原因是有帮助的。因此,我们可以根据得到的统计规律种植和砍伐树种,促进木材的生产。

並列摘要


In this paper we apply J function and Jij function of spatial point process to analyze Lansing woods data in U.S.A, obtain much valuable results. Our results show that statistical analysis methods of spatial point process are helpful for understanding the causes of the patterns observed in a forest stand. So we can plant and fell tree species according to this rule, which will promote wood production.

參考文獻


Baddeley, A. J.,Gill, R. D.(1993).Kaplan-Meier estimators for interpoint distance distributions of spatial point processes.,未出版Centrum voor Wiskunde en Informatica.
Baddeley, A. J.,Kerscher, M.,Schladitz, M. K.,Scott, B. T.(2000).Estimating the J function without edge correction.Statistics Neerlandica.54,315-328.
Barlett, M. S.(1975).The statistics analysis of spatial pattern.London:Chapman & Hall.
Cressie, N. A. C.(1991).Statistics for spatial data.New York:John Wiley and sons.
Diggle, P. J.(1983).Statistical analysis of spatial point patterns.London:Academic Press.

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