stUPscales (version 1.0.3.5)
Spatio-Temporal Uncertainty Propagation Across Multiple Scales
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, MC.analysis_generic 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.