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

Tucker, Gregory E., Hobley, Daniel ORCID: https://orcid.org/0000-0003-2371-0534, Hutton, Eric, Gasparini, Nicole M., Istanbulluoglu, Erkan, Adams, Jordan M. and Nudurupati, Sai Siddartha 2016. CellLab-CTS 2015: continuous-time stochastic cellular automaton modeling using Landlab. Geoscientific Model Development 9 (2) , pp. 823-839. 10.5194/gmd-9-823-2016

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Abstract

CellLab-CTS 2015 is a Python-language software library for creating two-dimensional, continuous-time stochastic (CTS) cellular automaton models. The model domain consists of a set of grid nodes, with each node assigned an integer state code that represents its condition or composition. Adjacent pairs of nodes may undergo transitions to different states, according to a user-defined average transition rate. A model is created by writing a Python code that defines the possible states, the transitions, and the rates of those transitions. The code instantiates, initializes, and runs one of four object classes that represent different types of CTS models. CellLab-CTS provides the option of using either square or hexagonal grid cells. The software provides the ability to treat particular grid-node states as moving particles, and to track their position over time. Grid nodes may also be assigned user-defined properties, which the user can update after each transition through the use of a callback function. As a component of the Landlab modeling framework, CellLab-CTS models take advantage of a suite of Landlab's tools and capabilities, such as support for standardized input and output.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Earth and Environmental Sciences
Publisher:	Copernicus Publications
ISSN:	1991-959X
Funders:	National Science Foundation
Date of First Compliant Deposit:	18 October 2016
Date of Acceptance:	10 February 2016
Last Modified:	07 May 2023 14:22
URI:	https://orca.cardiff.ac.uk/id/eprint/95405

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