论文标题
用于产生协方差矩阵的R包装，用于从降水化学数据中进行最大进样采样
An R Package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data
论文作者
论文摘要
我们提出了一个开源R套件（Mesgencov v 0.1.0），用于时间拟合多元降水化学数据，并提取用于MESP（最大渗透抽样问题）的协方差矩阵。我们为建模和模型评估提供多种功能。该软件包与NADP / NTN（国家大气沉积计划 /国家趋势网络）的数据紧密相结合，其379个监测站点（1978年） - 本土。用户指定所需的站点，化学品和时间段，适合适用于每个站点和选择的化学物质的适当用户指定的单变量模型，并且该软件包生成了协方差矩阵，以供MESP算法使用。
We present an open-source R package (MESgenCov v 0.1.0) for temporally fitting multivariate precipitation chemistry data and extracting a covariance matrix for use in the MESP (maximum-entropy sampling problem). We provide multiple functionalities for modeling and model assessment. The package is tightly coupled with NADP/NTN (National Atmospheric Deposition Program / National Trends Network) data from their set of 379 monitoring sites, 1978--present. The user specifies the sites, chemicals, and time period desired, fits an appropriate user-specified univariate model for each site and chemical selected, and the package produces a covariance matrix for use by MESP algorithms.
