以植物丰度为辅助变量的钉螺空间分层采样研究

发布时间：2018-07-25 08:53

【摘要】：目的优化湖沼型血吸虫病流行区钉螺调查方法,为提高查螺效率提供依据。方法基于一处50 m×50 m的草洲范围内推扫式的钉螺调查数据,提出一种基于植物丰度分布特征为辅助变量的钉螺空间采样策略;根据植物丰度数据进行空间分层,通过Hammond McCullagh方程计算各子区域内的最优采样点数量;采用多向插值离散度的空间采样布局方案(MDI),确定采样点部署策略;并对比空间随机采样、系统采样、空间分层采样和三明治采样。结果 5种采样策略中,本研究提出的采样策略所得到的抽样绝对误差最小,为0.213 8,系统抽样误差最大为0.924 4。结论本研究提出的钉螺采样策略能够获得比空间随机采样策略、系统采样策略、空间分层采样策略和三明治采样策略更高的估算精确度。
[Abstract]:Objective to optimize the investigation method of snail in lake and marsh schistosomiasis endemic area and to provide evidence for improving snail detection efficiency. Methods based on the survey data of snails in a 50 m 脳 50 m continent, a spatial sampling strategy based on the characteristics of plant abundance distribution was proposed, and the spatial stratification was carried out according to the data of plant abundance. The optimal number of sampling points in each sub-region is calculated by Hammond McCullagh equation, the spatial sampling layout scheme (MDI),) with multi-direction interpolation discreteness is used to determine the deployment strategy of sampling points, and the sampling strategy is compared with random sampling and system sampling. Spatial stratified sampling and sandwich sampling. Results among the five sampling strategies, the sampling absolute error was the smallest (0.213 8) and the maximum sampling error (0.924 4) was obtained by the proposed sampling strategy. Conclusion the snail sampling strategy proposed in this study can obtain higher estimation accuracy than the spatial random sampling strategy, the system sampling strategy, the spatial stratified sampling strategy and the sandwich sampling strategy.
【作者单位】：江西师范大学地理与环境学院;江西师范大学鄱阳湖湿地与流域研究教育部重点实验室;
【基金】：国家自然科学基金(81260449) 江西省教育厅科技项目(CJJ12185)
【分类号】：R184.38

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