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首页> 外文期刊>Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies >Effects of cell size and configuration in cellular automata based prey–predator modelling
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Effects of cell size and configuration in cellular automata based prey–predator modelling

机译：细胞大小和配置对基于细胞自动机的猎物-捕食者建模的影响

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摘要

Cellular automata (CA) have shown to be a viable approach in ecological modelling, in particular when dealing with local interactions between species and their environment. In CA modelling complex patterns emerge on a global scale through the evolution of interactions at a local level. Although the validity of a cell-based approach has successfully been demonstrated in numerous cases, very few studies have been reported that address the effects of cell size and configuration on the behaviours of CA-based models. In this paper, the performance of a cellular automaton based prey–predator model (EcoCA) developed by the author was first calibrated against the classical Lotka–Volterra (LV) model. The model was then used to investigate effects of cell size and cellular configurations (viz. the `computational stencil'). By setting up systematic simulation scenarios it was observed that the choice of a particular cell size has a clear effect on the resulting spatial patterns, while different cellular configurations affect both spatial patterns and system stability. On the basis of these findings, it is proposed to use the principal spatial scale of the studied ecosystem as CA model cell size and to apply the Moore type cell configuration. Methods for identifying principal spatial scales have been developed and are presented here.
机译：细胞自动机（CA）已被证明是一种生态建模的可行方法，尤其是在处理物种与其环境之间的局部相互作用时。在CA建模中，通过局部级别的交互作用，复杂的模式在全球范围内出现。尽管已经在许多情况下成功证明了基于细胞的方法的有效性，但很少有研究报道解决细胞大小和配置对基于CA模型的行为的影响。在本文中，作者针对经典的Lotka-Volterra（LV）模型首先校准了作者开发的基于细胞自动机的猎物-捕食者模型（EcoCA）的性能。然后，该模型用于研究细胞大小和细胞构型的影响（即“计算模具”）。通过建立系统的模拟方案，可以观察到特定单元格大小的选择对所得的空间模式有明显的影响，而不同的单元格配置会影响空间模式和系统稳定性。基于这些发现，建议使用所研究生态系统的主要空间尺度作为CA模型细胞大小，并应用Moore型细胞结构。已经开发了识别主要空间尺度的方法，并在此处介绍。

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