Personally I do not know any software which is open access but look below. It might help.

For cellular automata simulations land use there are a couple of publications. Try to contact authors.

* Simulation of land development through the integration of cellular automata and multicriteria evaluation https://journals.sagepub.com/doi/abs/10.1068/b250103

* Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns https://journals.sagepub.com/doi/abs/10.1068/a251175

* Calibration of stochastic cellular automata: the application to rural-urban land conversions https://www.tandfonline.com/doi/abs/10.1080/13658810210157769

* The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics https://journals.sagepub.com/doi/abs/10.1068/b240323

* Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules https://www.tandfonline.com/doi/abs/10.1080/15481603.2018.1426262?journalCode=tgrs20

Hi,

Idrisi software provides a tool for CA based on markov-chain simulation.

Good luck

Hi, try the MOLUSCE plugin (under QGIS ver 2. ...). Transition Potential Modeling by Artificial Neural Network (ANN), Logistic Regression (LR), Weights of Evidence (WoE) or Multi Criteria Evaluation (MCE) . In my opinion best open access software alternative to IDRISI LCM.

I wrote DUEM software back in 1990s. It had been widely used and cited. But I am afraid it might not work now. Take a look, anyway:

https://jmichaelbatty.wordpress.com/media/software/cellular-automata-duem/

https://www.gisagents.org/2007/03/duem.html

Idrisi Selva Software is what you need. In it you have the links to use the Markov transition probabilities. This is a Multi-criteria/Multi-Objective Land Allocation option for Simulation.

Please see my software， it is easy to use.

https://www.researchgate.net/publication/333748239

There are tons of software for LUCC modelling that incorporate CA theory. The one implemented in TerrSet (IDRISI) is a typical example of CA - Markov chain model.

Freely available, you also can find SLEUTH (based on the theory of Keith Clarke), Apolus (based on the theory of White and Englelen) or Dinamica EGO. You can find a brief description of each of these models in the following book: https://link.springer.com/book/10.1007%2F978-3-319-60801-3

None of them are implemented in QGIS or ArcGIS, but you just need to get used to their interface. The easiest one to this end I would say that is Dinamica EGO. The other ones are much more about programming, although you can find a lot of doccumentation to work with them.

visite to this link http://www.landusesim.com/

I think it's helpful to clarify what is meant by cellular automata (CA) in a land use modelling context.

There is a good definition in Ulam (1952) "Random Processes and Transformations". John Conway's famous "game of life" - see Gardner 1970 - is a very good simplified example of a CA model.

Basically, in a CA land use model, the transition potential at each time step is computed on the basis of neighbourhood interactions, i.e. the land uses in the immediate neighbourhood of each cell (nicely described in Tober's "cellular geography paper"), together with a bit of randomness to ensure that the simulation is not exactly the same each time.

By this definition, Batty, Xie and Sun's model, Keith Clarke et al's SLEUTH model, and the software based on White and Engelen's original model (1993) - Metronamica and SIMLANDER/APOLUS -

are CA models. The others don't really follow this definition, and for that reason, for me, they're not really CA models (though of course others may have a different opinion).

CLUE-S I think is a logistic regression model, and in Idrisi Land Change Modeller you can choose between Artificial Neural Networks (ANN) and logistic regression. Purdue university's LTM is also a nice ANN model. We compared the LCM and LTM ANN modelling procedure in a paper which may interest you if you are a Spanish speaker.

http://www.geofocus.org/index.php/geofocus/article/view/298

This is important if you are interested in experimenting with urban complexity, i.e. generating emergence and bifurcations, a CA by the above definition will do this, a logistic regression or an ANN model will not. Whether you care about this depends on whether you want to conduct anarchic experiments in space or just project historic trajectories of change into the future. We wrote about that issue in this paper (in English).

https://observatorioculturayterritorio.org/wordpress/wp-content/uploads/2017/10/2017_Hewitt_Pacheco_stable_models_metastable_systems.pd

SLEUTH and CLUE-S.

I suggest Idrisi TerrSet or Selva (CA-Markov or Land Change Modeler).

Idrisi TerrSet is cool...

FLUS is a very useful tool.

I think GeoSOS-FLUS is the best one.

http://www.saga-gis.org/saga_tool_doc/3.0.0/sim_cellular_automata.html

Idrisi selva is a good choice for this purpose

Richard James Hewitt hello.. i need your guidance in FLUS. I managed the required data for input. But i got a message Microsoft visual C++ debug library R6010. How can it be resolved?

Waiting for your reply

Thanks in advance

Idrisi Terrset will just safe all these....

QGIS has a plugin namely "MOLUSCE" that simulates CA.

TerrSet ( Idrisi) is really helpful in this manner

idrisi version Kilimanjaro have Markov and cellular atouma

MOLUSCE in QGIS

You could look at SIMLANDER/APoLUS, which is free and runs on the R environment

https://simlander.wordpress.com/about/

see the IUCm Article Computing climate-smart urban land use with the Integrated U...

USE MOLUSCE plugin in Qgis 2.18

MOLUSCE, QGIS 2.18 PLUGIN

https://plugins.qgis.org/plugins/molusce/

Il faut utiliser l'extension "MOLUSCE" du logiciel QGIS 2.18