Cellular Automata-Based Ecological Simulation with MATLAB

This MATLAB program for ecological simulation using cellular automata was developed by a renowned research laboratory. The program features a comprehensive graphical user interface that enables ecosystem modeling and analysis through interactive parameter configuration. Researchers can utilize this tool to better understand interactions and influences among different organisms within ecological systems. The implementation employs cellular automata algorithms where each cell represents an ecological unit with defined states (e.g., empty, vegetation, herbivore, predator). Key functions include neighbor state evaluation using Moore or von Neumann neighborhoods, state transition rules based on ecological principles, and probabilistic decision-making for species interactions. Users can customize simulation parameters through the GUI components, including initial population densities, reproduction rates, predation probabilities, and environmental factors. The program allows observation of ecosystem dynamics under various conditions through iterative cellular automata updates. The visualization system renders grid states using color-coded cells with real-time animation capabilities. Additionally, the program provides robust statistical analysis and data visualization features, including population trend graphs, spatial distribution maps, and diversity indices. These tools enable intuitive analysis and presentation of simulation results through MATLAB's plotting functions and data export capabilities. Overall, this MATLAB program serves as a powerful and user-friendly tool with significant value for ecological research and education, combining cellular automata theory with practical ecological modeling applications.