Land Change Modeler (LCM). This model is part of the TerrSet (IDRISI) geographical information system developed by Clark University in the USA. It is based on neural networks (Multilayer Perceptron) for the training phase, on Markov chains for estimating the quantity of changes and on multi-objective assessment for the location of changes and persistence. It has a large number of functions integrated into the model itself related with planning, biodiversity and habitats. Dynamic variables can also be included. http://www.clarklabs.org

CA_MARKOV. This model is part of the TerrSet (IDRISI) geographical information system developed by Clark University in the USA. It is a combined model using multi-criteria evaluation (MCE) for the training phase, Markov chains for estimating the quantity of changes and multi-objective evaluation (MOE) and cellular automata (CA) for the location phase. It is considered to be a supervised model. http://www.clarklabs.org

DINAMICA EGO. Free online GIS developed by the CSR of the Federal University of Minas Gerais in Brazil. This system is based on cellular automata which model the potential transitions between categories by means of weights of evidence. This model authorizes sub-regions, spatial patterns and time variables, amongst other possibilities, and has a strong interactive character. http://www.csr.ufmg.br/dinamica/

Metronamica. Developed and distributed by the Research Institute of Knowledge Systems (RIKS) in the Netherlands. This software is compatible with SIG and is based on cellular automata for modelling land use http://www.metronamica.nl/

Simulation models that we have developed ourselves on the basis of pure programming or using macro tools such as Matlab or R: logistical regression and artificial intelligence methods (neural networks, regression trees, Random Forest and support vector machines) and SGeMS for the Geostatistical Analysis of Spatial Data.