Package: sptotal 1.0.1
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.
Authors:
sptotal_1.0.1.tar.gz
sptotal_1.0.1.zip(r-4.5)sptotal_1.0.1.zip(r-4.4)sptotal_1.0.1.zip(r-4.3)
sptotal_1.0.1.tgz(r-4.4-any)sptotal_1.0.1.tgz(r-4.3-any)
sptotal_1.0.1.tar.gz(r-4.5-noble)sptotal_1.0.1.tar.gz(r-4.4-noble)
sptotal_1.0.1.tgz(r-4.4-emscripten)sptotal_1.0.1.tgz(r-4.3-emscripten)
sptotal.pdf |sptotal.html✨
sptotal/json (API)
NEWS
# Install 'sptotal' in R: |
install.packages('sptotal', repos = c('https://highamm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/highamm/sptotal/issues
- AKmoose_df - Data Set with Alaska Moose Counts.
- USlakes - Dissolved Organic Carbon in U.S. Lakes
- exampledataset - Data Set with Uncorrelated Poisson Counts.
- simdata - Simulated Spatially Autocorrelated Data.
Last updated 4 months agofrom:923eddce56. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win | OK | Nov 07 2024 |
R-4.5-linux | OK | Nov 07 2024 |
R-4.4-win | OK | Nov 07 2024 |
R-4.4-mac | OK | Nov 07 2024 |
R-4.3-win | OK | Nov 07 2024 |
R-4.3-mac | OK | Nov 07 2024 |
Exports:check.variogramgeostatSimget.predinfoget.predplotGR2LLtoTMloglik.slmfitpointSimSystslmfitstratafitsv
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr