基于总体表面属性特征的森林资源抽样调查方法比较

以南京紫金山国家森林公园的6个景区为抽样总体,以GIS为分析平台,以2002年数字化的森林资源二类调查数据为主要信息源,在分析各个总体相关性、异质性、聚集性3个表面属性特征基础上,分别采用简单随机抽样、系统抽样、空间简单随机抽样、空间分层抽样、空间平衡抽样方法对单位面积蓄积量进行了抽样估计,并从抽样平均误差、抽样效率2...

Comparison of Sampling Survey Methods of Forest Resources for Populations with Different Surface Attributes

Six zones in Zijin Mountain National Forest Park were selected as sampling populations,and digital forest resource inventory data in 2002 were used as the main information source.Surface attributes of the six populations were analyzed from three aspects of spatial correlation,heterogeneity and aggregation.Sampling estimation of volume per unit area was made by simple random sampling,systematic sampling,spatial simple random sampling,spatial stratified sampling and spatial balanced sampling.The optimal sampling design for the populations with different surface attributes was screened in terms of sampling average error and sampling efficiency.Results show that traditional sampling and spatial sampling methods are suitable for populations with strong heterogeneity,weak spatial correlation and approximate spatial random pattern;spatial stratified sampling method is the best for populations with strong heterogeneity,strong spatial correlation and aggregated spatial pattern;spatial balanced sampling method is appropriate for populations with weak heterogeneity,weak spatial correlation and approximate random spatial pattern.