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

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In ecological or environmental surveys, it is often desired to predict the mean or totalof 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 isto provide software that gives a prediction for a quantity of interest, such as a total, andan associated standard error for the prediction. The predictor, referred to as the Finite-Population-Block-Kriging (FPBK) predictor in the literature,incorporates possible spatial correlation in the data and also incorporates an appropriatevariance reduction for sampling from a finite population.In the remainder of the paper, we given an overview of the both the background of the method and of the sptotal package.

Impact/Purpose

This work is beneficial to environmental monitoring programs predicting totals and making population estimates from spatial data. This work describes how to use the sptotal R package to perform finite population block Kriging, which relies on the fitting of a complicated spatial statistical model designed to capture spatial correlation among nearby sites. Basic functionality of the package alongside technical details are presented, and it is made clear how users can incorporate this work directly into their population estimation procedures.

Citation

Higham, M., J. Ver Hoef, B. Frank, AND M. Dumelle. sptotal: an R package for predicting totals and weighted sums from spatial data. Journal of Open Source Software, 8(85):05363, (2023). [DOI: 10.21105/joss.05363]

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DOI: sptotal: an R package for predicting totals and weighted sums from spatial data
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Last updated on August 25, 2023
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