sptotal: an R package for predicting totals and weighted sums from spatial data.

Matt Higham, Jay Ver Hoef, Bryce Frank, Michael Dumelle
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Abstract

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.

sptotal:用于从空间数据中预测总数和加权和的 R 软件包。
在生态或环境调查中,人们往往希望预测某个有限区域内变量的平均值或总量。然而,由于时间和资金的限制,对整个区域进行采样往往是不可行的。sptotal R 软件包的目的是提供一个软件,用于预测一个感兴趣的量,如总量,以及预测的相关标准误差。该预测器在文献(J. M. Ver Hoef, 2008 年)中被称为有限总体-块-克里金(FPBK)预测器,它包含了数据中可能存在的空间相关性,还包含了从有限总体中采样时的适当方差缩小。在本文的其余部分,我们将概述该方法和 sptotal 软件包的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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