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角规测树从1948年奥地利林学家毕特里希发明以来,角规测树的原理,从一般的数学证明发展到用数理统计证明。工具上,由简单的杆式发展为光学角规,如棱镜角规。测定内容上,从单一的断面积因子测定到对森林诸因子的无测定。近年来角规测树发展成独立的抽样体系,具有许多其他抽样方法没有的优点,而且它还与其他抽样技术结合,产生了多种新的综合性的抽样方法,为双重点抽样。角规测树是通过在观测点上绕测,对绕测数通过断面积系数改算成我们所需要的测定对象的最终观测值。断面积系数是变量,可根据测定对象的不同选用不同的系数。当选定后,在一次测定中它又是一个常数。系数的不同,对测定的结果关系如何?在某一对象测定前,又如何选择系数?这是我们必须弄清楚的。本文仅就这方面的问题。通过在随机配置模拟图上的试验,略谈些肤浅看法,不妥之处,请批评指正。
Angle measurement tree Since the invention of the Austrian forestry writer Bertrich in 1948, the principle of angle measurement trees has evolved from general mathematical proof to mathematical statistics. Tools, from the simple development of the rod for the optical angle gauge, such as prism angle gauge. Determination of the content, from a single cross-sectional area factor to the determination of forest factors. In recent years, the angle gauge tree has evolved into an independent sampling system with many of the advantages that other sampling methods do not have, and it has also been combined with other sampling techniques to produce a variety of new comprehensive sampling methods for double point sampling. Angle measurement tree is through the observation point around the test, around the measured by the cross-sectional area coefficient converted into the final observations of the object we need. The cross-sectional area coefficient is a variable, and different coefficients may be selected according to different objects to be measured. When selected, it is again a constant in a test. What is the relationship between the coefficients and the result of the determination? How to choose the coefficient before the determination of an object? This is something that we must figure out. This article only on this issue. Through the random configuration simulation test, a little superficial view, inappropriate, please criticize correction.