%0 Journal Article
%T Kiln landscape evolvement of Jingdezhen Nanhe river basin based on PSO-CA<br>基于PSO-CA的景德镇南河流域窑址景观演变模拟
%A LIU Tao
%A XIAO Xuan
%A <br>刘　陶
%A 肖　绚
%J 计算机应用研究
%D 2013
%I 
%X 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.
%K PSO
%K cellular automation
%K Jingdezhen
%K kiln
%K landscape evolvement<br>粒子群算法
%K 元胞自动机
%K 景德镇
%K 窑址
%K 景观演变
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD100243DC6A08BAB6F0DC7C&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=8C5DE51F0A009A0F&eid=1A033C02510EFBE6&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10