Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2611-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2611-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Jun 2020
Model description paper |
| 08 Jun 2020
| 08 Jun 2020
QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach
University of Lausanne, Faculty of Geosciences and Environment,
Institute of Earth Surface Dynamics, Lausanne, Switzerland
Grégoire Mariethoz
University of Lausanne, Faculty of Geosciences and Environment,
Institute of Earth Surface Dynamics, Lausanne, Switzerland
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Latest update: 13 Dec 2024
Short summary
Stochastic simulations are key tools to generate complex spatial structures uses as input in geoscientific models. In this paper, we present a new open-source tool that enables to simulate complex structures in a straightforward and efficient manner, based on analogues. The method is tested on a variety of use cases to demonstrate the generality of the framework.
Stochastic simulations are key tools to generate complex spatial structures uses as input in...
