全国森林资源宏观监测的抽样设计与估计方法探索
发布时间：2018-11-22 08:26
【摘要】：阐述了全国森林资源宏观监测的抽样框架设计及群团抽样设计;研究提出了针对图斑区划判读和群团样地判读2种方案的抽样估计方法,包括系统抽样、整群抽样和两阶抽样,其中整群抽样更适合于图斑区划判读,而两阶抽样更适合于群团样地判读;9个省的抽样估计结果对比表明,不等群团的整群抽样估计方法对图斑区划判读和群团样地判读都是合适的。
[Abstract]:The sampling frame design and cluster sampling design for the macro-monitoring of forest resources in China were expounded. In this paper, two methods of sampling estimation are proposed, including systematic sampling, cluster sampling and two-stage sampling, in which cluster sampling is more suitable for map division interpretation. The two-stage sampling is more suitable for the interpretation of cluster plots. The comparison of sampling estimation results in 9 provinces shows that the cluster sampling estimation method of unequal clusters is suitable for the interpretation of map pattern zoning and cluster plot interpretation.
【作者单位】： 国家林业局调查规划设计院;
【分类号】：S757.2
，
本文编号：2348686
[Abstract]:The sampling frame design and cluster sampling design for the macro-monitoring of forest resources in China were expounded. In this paper, two methods of sampling estimation are proposed, including systematic sampling, cluster sampling and two-stage sampling, in which cluster sampling is more suitable for map division interpretation. The two-stage sampling is more suitable for the interpretation of cluster plots. The comparison of sampling estimation results in 9 provinces shows that the cluster sampling estimation method of unequal clusters is suitable for the interpretation of map pattern zoning and cluster plot interpretation.
【作者单位】： 国家林业局调查规划设计院;
【分类号】：S757.2
，
本文编号：2348686
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