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

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

doi:https://doi.org/10.5194/gmd-9-823-2016

Articles | Volume 9, issue 2

https://doi.org/10.5194/gmd-9-823-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-823-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 2

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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Final revised paper (published on 29 Feb 2016)
Preprint (discussion started on 02 Nov 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C3093: 'Review by Clement Narteau', Clement NARTEAU, 26 Nov 2015
RC C3106: 'Review', Tom Coulthard, 27 Nov 2015
AC C3905: 'Reply to reviewer comments', Gregory Tucker, 31 Jan 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Gregory Tucker on behalf of the Authors (31 Jan 2016) Author's response Manuscript

ED: Publish subject to technical corrections (10 Feb 2016) by Hilary McMillan

AR by Gregory Tucker on behalf of the Authors (10 Feb 2016) Author's response Manuscript

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.