Package: sptotal
Type: Package
Title: Predicting Totals and Weighted Sums from Spatial Data
Version: 1.0.1
Authors@R: c(
    person("Matt", "Higham", email = "mhigham@stlawu.edu", role = c("cre", "aut")),
        person("Jay", "Ver Hoef", email = "jay.verhoef@noaa.gov", role = "aut"),
    person("Bryce", "Frank", email = "bryce.frank@oregonstate.edu", role = "aut"),
    person("Michael", "Dumelle", email = "Dumelle.Michael@epa.gov", role = "aut",
    comment = c(ORCID = "0000-0002-3393-5529")))
Depends: R (>= 3.5.0)
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
BugReports: https://github.com/highamm/sptotal/issues
Imports: ggplot2, stats
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), prettydoc, tibble,
        gstat, graphics
VignetteBuilder: knitr, rmarkdown
URL: https://highamm.github.io/sptotal/index.html
Config/testthat/edition: 3
Repository: https://highamm.r-universe.dev
Date/Publication: 2024-08-09 14:49:58 UTC
RemoteUrl: https://github.com/highamm/sptotal
RemoteRef: HEAD
RemoteSha: 923eddce5689aa4c0e04576882af2fc5b2ac899b
NeedsCompilation: no
Packaged: 2026-10-12 11:34:53 UTC; root
Author: Matt Higham [cre, aut],
  Jay Ver Hoef [aut],
  Bryce Frank [aut],
  Michael Dumelle [aut] (ORCID: <https://orcid.org/0000-0002-3393-5529>)
Maintainer: Matt Higham <mhigham@stlawu.edu>