<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Predicting Totals and Weighted Sums from Spatial Data</dc:title>
  <dc:title>R package sptotal version 1.0.1</dc:title>
  <dc:subject>CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial)</dc:subject>
  <dc:description>Performs predictions of totals and weighted sums, or finite population block kriging, on spatial data using the methods in Ver Hoef (2008) &lt;doi:10.1007/s10651-007-0035-y&gt;. 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. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: ggplot2, stats, viridis, graphics</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr, testthat, prettydoc, tibble, gstat</dc:relation>
  <dc:creator>Matt Higham &lt;mhigham@stlawu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matt Higham [cre, aut],
  Jay Ver Hoef [aut],
  Bryce Frank [aut],
  Michael Dumelle [aut] (ORCID: &lt;https://orcid.org/0000-0002-3393-5529&gt;)</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2022-12-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sptotal</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sptotal</dc:identifier>
</oai_dc:dc>
