Package: spup 1.4-0

spup: Spatial Uncertainty Propagation Analysis

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

Authors:Kasia Sawicka [aut, cre], Gerard Heuvelink [aut], Dennis Walvoort [aut], Stefan van Dam [ctb], Damiano Luzzi [ctb]

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Bug tracker:https://github.com/ksawicka/spup/issues

On CRAN:

monte-carlospatialuncertainty-analysisuncertainty-propagation

14 exports 9 stars 1.59 score 34 dependencies 57 scripts 230 downloads

Last updated 8 months agofrom:f6434a87a2. Checks:OK: 7. Indexed: yes.

Exports:defineMUMdefineUMexecutablegenSamplelist_depthmakeCRMmean_MC_sgdfpropagatequantile_MC_sgdfrendersd_MC_sgdftemplatevar_MC_sgdfvarcov

Dependencies:abindclassclassIntcliDBIe1071FNNgluegstatintervalsKernSmoothlatticelifecyclemagrittrMASSmvtnormproxypurrrrasterRcpprlangs2sfsftimespspacetimestarsterraunitsvctrswhiskerwkxtszoo