원문정보
초록
영어
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.
목차
1. Introduction
2. The Virtual Map of Study Area
2.1. The Study Area Selection
2.2. Map Building
3. Particle Swarm Optimization and Cellular Automation Model
3.1. Improved Particle Swarm Optimization Algorithm
3.2. Particle Swarm Intelligence and Cellular Automata Model
4. Experimental Simulation and Analysis
5. Conclusion
Acknowledgments
References