Spatial uncertainty propagation analysis with the spup R package

Sawicka, Kasia; Heuvelink, Gerard B.M.; Walvoort, Dennis J.J.. 2018 Spatial uncertainty propagation analysis with the spup R package. R Journal, 10 (2). 180-199. https://doi.org/10.32614/RJ-2018-047

Before downloading, please read NORA policies.

Preview

Text N522447JA.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview

Abstract/Summary

Many environmental and geographical models, such as those used in land degradation, agro ecological and climate studies, make use of spatially distributed inputs that are known imperfectly. The R package spup provides functions for examining the uncertainty propagation from input data and model parameters onto model outputs via the environmental model. 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. The package also accommodates spatial auto-correlation within a variable and cross-correlation between variables. The MC realizations may be used as input to the environmental models written in or called from R. This article provides theoretical background and three worked examples that guide users through the application of spup.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.32614/RJ-2018-047
UKCEH and CEH Sections/Science Areas:	Soils and Land Use (Science Area 2017-)
ISSN:	2073-4859
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Computer Science
Date made live:	07 Mar 2019 14:54 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/522447

Actions (login required)

View Item

Document Downloads

More statistics for this item...