Abstract
Developing countries such as México, commonly suffer high levels of deforestation. Forests disappear and hundreds of species disappear along with it. The UNAM institute of geography, estimates that every year over 500 thousand hectares of forest and rain forest are lost. Which places Mexico in the 5th place in world deforestation. [1] It’s important to find the definitive factors that influence deforestation, their discovery is key to help promote conservation and reforestation. The aim of use of cellular automata in this work, is to simulate deforestation processes and in the analysis of these factors. In this article, the objective is to use cellular automata to model deforestation. This will allow to determine endangered areas. The plan is to simulate an affected area, so that it can be visualized over time, the fading of the forest area and predict where the next area in danger will be.
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Margain, L., Ochoa, A., Almaguer, L.M., Velázquez, R. (2018). Use of Cellular Automata to Predict Deforestation in Queretaro. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Hybrid Intelligent Systems. HIS 2017. Advances in Intelligent Systems and Computing, vol 734. Springer, Cham. https://doi.org/10.1007/978-3-319-76351-4_7
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DOI: https://doi.org/10.1007/978-3-319-76351-4_7
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