stUPscales

Spatio-Temporal Uncertainty Propagation Across Multiple Scales

Integrated environmental modelling requires coupling sub-models at different spatial and temporal scales, thus accounting for change of support procedures (aggregation and disaggregation). We contribute to state-of-the-art open source tools that support uncertainty propagation analysis in temporal and spatio-temporal domains. We implement the tool for uncertainty propagation in environmental modelling, with examples in the urban water domain. The functionalities of the class setup and the methods and functions MC.setup, MC.sim, MC.analysis and Agg.t are contained, which are used for setting up, running and analysing Monte Carlo uncertainty propagation simulations, and for spatio-temporal aggregation. We also implement functionalities to model and predict variables that vary in space and time. stUPscales takes uncertainty characterisation and propagation a step further by including temporal and spatio-temporal auto- and cross-correlation, resulting in more realistic (spatio-)temporal series of environmental variables. Due to its modularity, the package allows the implementation of additional methods and functions for spatio-temporal disaggregation of model inputs and outputs, when linking models across multiple space-time scales.

Total

1,046

Last month

193

Last week

58

Average per day

6

Daily downloads

Total downloads

Description file content

Package
stUPscales
Type
Package
Title
Spatio-Temporal Uncertainty Propagation Across Multiple Scales
Version
1.0.3.3
Date
2018-08-09
Author
J.A. Torres-Matallana [aut, cre] U. Leopold [ctb] G.B.M. Heuvelink [ctb]
Maintainer
J.A. Torres-Matallana
Description
Integrated environmental modelling requires coupling sub-models at different spatial and temporal scales, thus accounting for change of support procedures (aggregation and disaggregation). We contribute to state-of-the-art open source tools that support uncertainty propagation analysis in temporal and spatio-temporal domains. We implement the tool for uncertainty propagation in environmental modelling, with examples in the urban water domain. The functionalities of the class setup and the methods and functions MC.setup, MC.sim, MC.analysis and Agg.t are contained, which are used for setting up, running and analysing Monte Carlo uncertainty propagation simulations, and for spatio-temporal aggregation. We also implement functionalities to model and predict variables that vary in space and time. stUPscales takes uncertainty characterisation and propagation a step further by including temporal and spatio-temporal auto- and cross-correlation, resulting in more realistic (spatio-)temporal series of environmental variables. Due to its modularity, the package allows the implementation of additional methods and functions for spatio-temporal disaggregation of model inputs and outputs, when linking models across multiple space-time scales.
License
GPL (>= 3)
Depends
R (>= 2.10), methods, stats, graphics, grDevices, utils, mAr, lmom,
Imports
parallel, doParallel, foreach, lattice, msm, ggplot2, moments, hydroGOF, zoo, data.table, xts, EmiStatR
NeedsCompilation
no
Packaged
2018-08-09 08:34:51 UTC; atorres
Repository
CRAN
Date/Publication
2018-08-09 09:00:08 UTC

install.packages('stUPscales')

1.0.3.3

3 months ago

J.A. Torres-Matallana

GPL (>= 3)

Depends on

R (>= 2.10), methods, stats, graphics, grDevices, utils, mAr, lmom,

Imports

parallel, doParallel, foreach, lattice, msm, ggplot2, moments, hydroGOF, zoo, data.table, xts, EmiStatR

Discussions