doi:10.1007/s10651-007-0035-y>. The primary outputs are an estimate of the total, mean, or weighted sum in the region, an estimated prediction variance, and a plot of the predicted and observed values. This is useful primarily to users with ecological data that are counts or densities measured on some sites in a finite area of interest. Spatial prediction for the total count or average density in the entire region can then be done using the functions in this package.">

sptotal: Predicting Totals and Weighted Sums from Spatial Data (original) (raw)

Performs predictions of totals and weighted sums, or finite population block kriging, on spatial data using the methods in Ver Hoef (2008) <doi:10.1007/s10651-007-0035-y>. The primary outputs are an estimate of the total, mean, or weighted sum in the region, an estimated prediction variance, and a plot of the predicted and observed values. This is useful primarily to users with ecological data that are counts or densities measured on some sites in a finite area of interest. Spatial prediction for the total count or average density in the entire region can then be done using the functions in this package.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: ggplot2, stats, viridis, graphics
Suggests: rmarkdown, knitr, testthat, prettydoc, tibble, gstat
Published: 2022-12-11
DOI: 10.32614/CRAN.package.sptotal
Author: Matt Higham [cre, aut], Jay Ver Hoef [aut], Bryce Frank [aut], Michael Dumelle ORCID iD [aut]
Maintainer: Matt Higham
BugReports: https://github.com/highamm/sptotal/issues
License: GPL-2
URL: https://highamm.github.io/sptotal/index.html
NeedsCompilation: no
Materials: README NEWS
In views: Spatial
CRAN checks: sptotal results

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