论文标题
抖动对DHS数据的基于栅格和距离的地理分析的影响
Impact of Jittering on Raster- and Distance-based Geostatistical Analyses of DHS Data
论文作者
论文摘要
根据人口统计和健康调查（DHS）计划的家庭调查，经常将细尺度协变量刷用于地统计模型中，以绘制人口统计学和健康指标。但是，地统计学分析忽略了DHS调查中的GPS坐标是出于隐私目的而抖动的事实。我们证明了需要考虑这种抖动的需要，并提出了一种可以常规应用的计算高效方法。我们使用新方法来分析2018年尼日利亚20-49岁妇女在2018年DHS调查中完成中学教育的普遍性。该分析表明，与忽略抖动时，空间范围和固定效果的估计值发生了很大的变化。通过模拟数据集的仿真研究，我们证明了震撼人心的核算减少了估计的协变量系数的衰减并改善了预测。结果还表明，在观测到的位置周围的窗口中平均协变量值的常见方法不会导致与抖动相同的改进。
Fine-scale covariate rasters are routinely used in geostatistical models for mapping demographic and health indicators based on household surveys from the Demographic and Health Surveys (DHS) program. However, the geostatistical analyses ignore the fact that GPS coordinates in DHS surveys are jittered for privacy purposes. We demonstrate the need to account for this jittering, and we propose a computationally efficient approach that can be routinely applied. We use the new method to analyse the prevalence of completion of secondary education for 20--49 year old women in Nigeria in 2018 based on the 2018 DHS survey. The analysis demonstrates substantial changes in the estimates of spatial range and fixed effects compared to when we ignore jittering. Through a simulation study that mimics the dataset, we demonstrate that accounting for jittering reduces attenuation in the estimated coefficients for covariates and improves predictions. The results also show that the common approach of averaging covariate values in windows around the observed locations does not lead to the same improvements as accounting for jittering.
