Kiln landscape evolvement of Jingdezhen Nanhe river basin based on PSO-CA
基于PSO-CA的景德镇南河流域窑址景观演变模拟

By taking advantage of PSO algorithm's characteristics of quick searching and optimizing in space, this paper used improved particle swarm algorithm in MATLAB 7. 0 environment to determine the location of K target grids from N×M grid space, made the average distance the smallest from the target grid to Nanhe, Nanshan and the clay mine. Then, by combining the K target grids' land suitability with the neighboring land utilization, this paper concluded whether target grid could evolve into a kiln site. This model simulated the evolvement of kiln landscape along Nanhe river of Jingdezhen, from the Five Dynasties to Northern Song Dynasty. Through a comparative analysis of different evolutions with different K value and probability threshold, it got the right value. With the right value, the simulated Moran's I index was close to the actual Moran's I index. It is proved that the model is effective in simulating kiln landscape evolvement of ancient times. At the same time, this paper gave a new solution to study landscape evolution without GIS spatial data.