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A Survey on Sampling Methods for Forest Resources Inventory

机译:森林资源清查抽样方法调查

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摘要

There are a lot of uncertainties existing in the traditional sampling methods for forest resources inventory. And the presence of these uncertainties will reduce the sampling precision and the representation of the sample point on the whole. Under this background, Spatial Balanced Sampling (SBS) arises, which dramatically reduces the effects caused by the sampling frame change and non-response sampling units. This paper, by the method of Analysis Hierarchy Process (AHP) model for selecting the sampling program, analyzes the scenic beauty value of Nanjing Zijin Mountain and concludes that SBS should be selected to analyze the case.
机译:传统的森林资源清查抽样方法存在很多不确定性。这些不确定性的存在会降低采样精度和整体上采样点的表示。在这种背景下,出现了空间平衡采样(SBS),从而大大减少了由采样帧变化和无响应采样单位引起的影响。本文采用层次分析法(AHP)模型选择抽样方案,分析了南京紫金山景区的风景名胜价值,并认为应选择SBS对案例进行分析。

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