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sptotal: Predicting Totals and Weighted Sums from Spatial Data

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 <mhigham at stlawu.edu>
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

Documentation:

Reference manual: sptotal.pdf
Vignettes: Inference for Totals and Weighted Sums from Finite Spatial Populations

Downloads:

Package source: sptotal_1.0.1.tar.gz
Windows binaries: r-devel: sptotal_1.0.1.zip, r-release: sptotal_1.0.1.zip, r-oldrel: sptotal_1.0.1.zip
macOS binaries: r-release (arm64): sptotal_1.0.1.tgz, r-oldrel (arm64): sptotal_1.0.1.tgz, r-release (x86_64): sptotal_1.0.1.tgz, r-oldrel (x86_64): sptotal_1.0.1.tgz
Old sources: sptotal archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.