# spup

R package: spup - Spatial Uncertainty Propagation Analysis

# Description

Uncertainty propagation analysis in spatial environmental modelling
following methodology described in Heuvelink et al. (2007) and Brown and
Heuvelink (2007). 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.

## Installation

R package *spup* is available on CRAN and can be installed in
R as:

The development version from GitHub can be install via:

```
library(devtools)
install_github("ksawicka/spup")
```

## References

Brown, J. D. and G. B. M. Heuvelink (2007). “The Data Uncertainty
Engine (DUE): A software tool for assessing and simulating uncertain
environmental variables.” Computers & Geosciences 33(2):
172-190.

Heuvelink, G. B. M., et al. (2007). “A probabilistic framework for
representing and simulating uncertain environmental variables.”
International Journal of Geographical Information Science 21(5):
497-513.