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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 |
| Author: |
Matt Higham [cre, aut],
Jay Ver Hoef [aut],
Bryce Frank [aut],
Michael Dumelle 
[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:
Downloads:
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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.
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