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森林蓄积量调查是林业规划和组织经营的基础。在当前采用的抽样调查方法中,蓄积量估测的实际误差来源于两方面,即抽样误差和非抽样误差。抽样误差是一种可用样本容量协调的可控误差,非抽样误差是一种并非调查总体变动和样本估测总体时的误差,而是由调查工具,调查方法……等多种因素引起的。虽然它严重影响着调查成果对生产实践的指导作用,但却无法在抽样调查中估计。所以这类误差比抽样误差具有更大的危害性。材积表误差往往是导致这类误差的最主要因素。依胸径、树高为变量,材积为函数的二元材积表(简称二元表)自1846年问世以来,经
The forest inventory survey is the basis for planning and organizing forestry. In the current sampling survey method, the actual error of the stock volume estimation comes from two aspects, namely the sampling error and the non-sampling error. Sampling error is a controllable error with the available sample size. Non-sampling error is caused by many factors, such as survey tools, investigation methods, etc., which are not errors in the overall survey and sample estimation. Although it seriously affects the guidance of survey findings on production practices, it can not be estimated in sample surveys. Therefore, such errors are more harmful than sampling errors. Volume table errors are often the most important contributor to such errors. According to DBH, tree height as a variable, volume as a function of the binary volume table (Binary Table) since its inception in 1846, the