Abstract
Cellular automata (CA) are discrete models used in several studies due to the capacity to simulate dynamic systems and analyze their behavior. One of the applications of CA in ecology is in the analysis of the spatial distribution of species, where simulation models are created in order to study the response of ecological systems to different kinds of exogenous or endogenous perturbations. In this study we describe an implementation of a cellular automata model able to incorporate environmental data from different sources. To the user is given the power to produce and analyze different scenarios by combining the available variables at will. We present a case study where, departing from a generalized additive model, a possible explanation is given for the distribution of two haplotypes of honeybees along Iberian Peninsula. The results of our model are compared and discussed at the light of the real data collected on the terrain.
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Bioco, J., Silva, J., Canovas, F., Fazendeiro, P. (2019). A Cellular Automata Model of Spatio-Temporal Distribution of Species. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 913. Springer, Cham. https://doi.org/10.1007/978-3-030-11881-5_11
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DOI: https://doi.org/10.1007/978-3-030-11881-5_11
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