Package: sptotal
Type: Package
Title: Predicting Totals and Weighted Sums from Spatial Data
Date: 2022-12-09
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, viridis, graphics
Suggests: rmarkdown, knitr, testthat, prettydoc, tibble, gstat
VignetteBuilder: knitr, rmarkdown
URL: https://highamm.github.io/sptotal/index.html
NeedsCompilation: no
Packaged: 2022-12-11 16:55:21 UTC; highamm
Author: Matt Higham [cre, aut],
  Jay Ver Hoef [aut],
  Bryce Frank [aut],
  Michael Dumelle [aut] (<https://orcid.org/0000-0002-3393-5529>)
Maintainer: Matt Higham <mhigham@stlawu.edu>
Repository: CRAN
Date/Publication: 2022-12-11 22:40:02 UTC
Built: R 4.5.2; ; 2025-12-23 04:05:55 UTC; windows
