Higham Matt, Hoef Jay Ver, Frank Bryce, Dumelle Michael
St. Lawrence University.
National Oceanic and Atmospheric Administration.
J Open Source Softw. 2023 May 24;8(85):1-4. doi: 10.21105/joss.05363.
In ecological or environmental surveys, it is often desired to predict the mean or total of a variable in some finite region. However, because of time and money constraints, sampling the entire region is often unfeasible. The purpose of the sptotal R package is to provide software that gives a prediction for a quantity of interest, such as a total, and an associated standard error for the prediction. The predictor, referred to as the Finite-Population-Block-Kriging (FPBK) predictor in the literature (J. M. Ver Hoef, 2008), incorporates possible spatial correlation in the data and also incorporates an appropriate variance reduction for sampling from a finite population. In the remainder of the paper, we give an overview of both the background of the method and of the sptotal package.
在生态或环境调查中，常常希望预测某个有限区域内变量的均值或总量。然而，由于时间和资金限制，对整个区域进行采样往往不可行。sptotal R包的目的是提供软件，对感兴趣的量（如总量）进行预测，并给出预测的相关标准误差。在文献中（J.M. 韦尔·霍夫，2008年），该预测器被称为有限总体块克里金（FPBK）预测器，它考虑了数据中可能存在的空间相关性，并且在从有限总体中采样时采用了适当的方差缩减方法。在本文的其余部分，我们将概述该方法的背景以及sptotal包。
