Kiln Landscape Evolution Simulation Based on Particle Swarm Optimization and Cellular Automata Model
نویسندگان
چکیده
Due to the less accessibility to the data, relatively little literature has been found on how the ancient kiln site evolves. To understand how land has transformed kiln in ancient Jingdezhen DongHe River Basin from the Yuan Dynasty to the Ming Dynasty, we create virtual maps of ancient study area and present such concepts that unambiguously realize a combination model. In this model, Model parameters and neighborhood rules are obtained with the cellular automata model melt modified Particle Swarm Optimization algorithm. Meanwhile, model performance is evaluated using Moran’s I index estimation for selected landscape pattern indices and make a comparative analysis of different evolution with different number of candidate site and different conversion threshold. In overall, the model that we propose is effective and feasible in simulating kiln landscape evolution in ancient when Geographic Information and System information are lacking.
منابع مشابه
Vol.53 (ACE 2014), pp.218-223
To understand how land has transformed kiln in ancient Jingdezhen DongHe River Basin from the Yuan Dynasty to the Ming Dynasty, we create virtual maps of ancient study area and present such concepts that unambiguously realize a combination model. In this model, Model parameters and neighborhood rules are obtained with the cellular automata model melt Particle Swarm Optimization algorithm. Meanw...
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