Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-823-2016
https://doi.org/10.5194/gmd-9-823-2016
Model description paper
 | 
29 Feb 2016
Model description paper |  | 29 Feb 2016

CellLab-CTS 2015: continuous-time stochastic cellular automaton modeling using Landlab

Gregory E. Tucker, Daniel E. J. Hobley, Eric Hutton, Nicole M. Gasparini, Erkan Istanbulluoglu, Jordan M. Adams, and Sai Siddartha Nudurupati

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Short summary
This paper presents a new Python-language software library, called CellLab-CTS, that enables rapid creation of continuous-time stochastic (CTS) cellular automata models. These models are quite useful for simulating the behavior of natural systems, but can be time-consuming to program. CellLab-CTS allows users to set up models with a minimum of effort, and thereby focus on the science rather than the software.