Name
Title | ||
|---|---|---|
A software framework for process flow execution of stochastic multi-scale integrated models. |
Abstract | ||
|---|---|---|
Dynamic environmental models use a state transition function, external inputs and parameters to simulate the change of real-world processes over time. Modellers specify the state transition function and the external inputs required in the process calculation of each time step in a component model, a self-contained numerical module representing an individual spatio-temporal process. Depending on the application case of a component model – such as standalone execution or in an integrated model – the source of the external input needs to be specified. The required external inputs can thereby be obtained by a file operation in case of a standalone execution. Alternatively, required inputs can be obtained from other component models, in case the component model is part of an integrated model. Using different notations to specify these input requirements, however, requires a modification of the state transition function per application case and therefore would reduce the generic applicability of a component model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ecoinf.2016.01.009 | Ecological Informatics |
Keywords | Field | DocType |
Spatio-temporal modelling,Uncertainty assessment,Integrated modelling,PCRaster Python,Model components | Ecology,Monte Carlo method,Notation,Coupling,Computer science,Flow (psychology),Function object,Syntax,Software framework,Reusability | Journal |
Volume | ISSN | Citations |
32 | 1574-9541 | 0 |
PageRank | References | Authors |
0.34 | 24 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Schmitz | 1 | 36 | 4.45 |
| Jean-Luc De Kok | 2 | 9 | 1.58 |
| Derek Karssenberg | 3 | 112 | 16.11 |