Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 552994
Title Spatial uncertainty propagation analysis with the spup R package
Author(s) Sawicka, Kasia; Heuvelink, Gerard B.M.; Walvoort, Dennis J.J.
Source RFID Journal 10 (2018)2. - ISSN 2073-4859 - p. 180 - 199.
DOI https://doi.org/10.32614/RJ-2018-047
Department(s) PE&RC
Soil Geography and Landscape
ISRIC - World Soil Information
Soil, Water and Land Use
Publication type Refereed Article in a scientific journal
Publication year 2018
Abstract

Many environmental and geographical models, such as those used in land degradation, agroecological 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.

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