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我们利用80年10月拍摄,比例尺1:16000的航空象片,根据沈阳农学院谭启栋教授提出的典型中心抽样理论,对一个林场用类型中心抽样进行森林资源清查的试验。并将其结果与随机抽样、分层抽样进行对比,精度达到了预期要求。现将调查及计算结果介绍如下:一、基本概念凡是近似正态分布且是“知其概,不知其详”的统计总体,均可进行类型中心抽样。以林场有林地、疏林地为总体,小班调查的成果作为概知数据,将总体中的小班按树种(组)、令组和疏密度(或郁闭度)等因子划分
Based on the typical center sampling theory proposed by Professor Tan Qidong of Shenyang Agricultural College, we used the type center of a forest farm to conduct a forest resource inventory test using the aerial photograph taken on October 1, 1980 in scale 1:16000. The results were compared with random sampling and stratified sampling, and the accuracy reached the expected requirement. Now the survey and calculation results are introduced as follows: I. Basic Concepts Any type of central sampling can be performed on a statistical population that has an approximate normal distribution and is “well-known and unknown.” Taking the forest farmland and the sparse woodland as the overall and the results of the small-scale survey as the general data, the sub-groups in the overall population were divided according to the species (group), group and sparseness (or canopy density)