摘要
为了进行城市扩张研究,在使用二分Logistic回归方法从历史数据中挖掘位置特征变量对元胞状态转换影响的基础上,通过引入邻域因子实现了可控邻域作用。研究中,首先建立了一种新的城市元胞自动机(Cellular Automata,CA)模型,然后用该模型在长沙市区及部分周边地区进行了城市扩张进程的模拟和预测,并对结果进行了评价分析。
Celluar Automata （CA） featured by self-organizing evolvement is used to establish the urban expansion model. This paper introduces a CA model and adopts a neighbor factor to implement controllable neighbor-effect on the basis of exploring the influence of several location feature variables on cell status conversion in historical data. Obtaining simulated results with different spatial patterns is possible through changing the value of the neighbor factor. Taking the urban district of Changsha experiment to simulate and predict the process of and it vicinities as the study area, the authors conducted an urbanization, and then evaluated and analyzed the results.
出处
《国土资源遥感》
CSCD
2011年第2期110-114,共5页
Remote Sensing for Land & Resources
基金
湖南省自然科学基金项目(编号:07JJ6076)
