spup: Uncertainty Propagation Analysis

Uncertainty propagation analysis in spatial environmental modelling following methodology described in Heuvelink et al. (2017) <doi:10.1080/13658810601063951> and Brown and Heuvelink (2007) <doi:10.1016/j.cageo.2006.06.015>. The package provides functions for examining the uncertainty propagation starting from input data and model parameters, via the environmental model onto model outputs. The functions include uncertainty model specification, stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain variables are described by probability distributions. Both numerical and categorical data types are handled. Spatial auto-correlation within an attribute and cross-correlation between attributes is accommodated for. The MC realizations may be used as input to the environmental models called from R, or externally.

Version: 0.1-0
Depends: R (≥ 3.3.3)
Imports: graphics, gstat, magrittr, methods, mvtnorm, purrr, raster, whisker
Suggests: dplyr, GGally, gridExtra, knitr, readr, sp
Published: 2017-04-13
Author: Kasia Sawicka [aut, cre], Gerard Heuvelink [aut], Dennis Walvoort [ctb], Stefan van Dam [ctb]
Maintainer: Kasia Sawicka <kasia.sawicka at wur.nl>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: spup results


Reference manual: spup.pdf
Vignettes: Spatial uncertainty propagation analysis
Spatial uncertainty propagation analysis
Spatial uncertainty propagation analysis
Spatial uncertainty propagation analysis
Package source: spup_0.1-0.tar.gz
Windows binaries: r-devel: spup_0.1-0.zip, r-release: spup_0.1-0.zip, r-oldrel: spup_0.1-0.zip
OS X El Capitan binaries: r-release: spup_0.1-0.tgz
OS X Mavericks binaries: r-oldrel: not available


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