Package: sptotal
Type: Package
Title: Predicting Totals and Weighted Sums from Spatial Data
Date: 2020-07-01
Version: 0.1.0
Authors@R: c(
    person("Higham", "Matt", email = "mhigham@stlawu.edu", role = c("cre", "aut")),
        person("Ver Hoef", "Jay", email = "jay.verhoef@noaa.gov", role = "aut"),
    person("Frank", "Bryce", email = "bryce.frank@oregonstate.edu", role = "aut"))
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: 7.1.0
BugReports: https://github.com/highamm/sptotal/issues
Imports: matrixcalc, mvtnorm, ggplot2, stats, viridis, graphics,
        tibble, sp
Suggests: gstat, rmarkdown, knitr, testthat, prettydoc, rgeos
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-07-01 12:41:34 UTC; highamm
Author: Higham Matt [cre, aut],
  Ver Hoef Jay [aut],
  Frank Bryce [aut]
Maintainer: Higham Matt <mhigham@stlawu.edu>
Repository: CRAN
Date/Publication: 2020-07-01 13:20:02 UTC
Built: R 4.0.2; ; 2020-08-02 16:50:21 UTC; windows
