北京大学学报：自然科学版2012，Vol.48Issue(1)：116-122,7.
土地利用变化的ANN-CA模拟研究——以西南喀斯特地区猫跳河流域为例
An ANN-CA Modeling Method for Land Cover Change in the Karst Area of China：A Case Study of Maotiao River Basin
摘要
Abstract
The land use of Karst areas in Southwest China changed drastically due to its fragile eco-environment properties and the disturbance from human activities.Modeling and analyzing these changes is impeded by its complex surface features and the intensive human-environment interaction.In order to solve this problem,a combined ANN-CA modeling method is used on Maotiao River Basin in Guizhou Province by the modeling results compared with the actual land use map.The results show 87.62% accuracy with confusion matrix,57.36% with figure of merit,and all of the selected landscape indexes are similar between them,proving this method a good option for the land use change analysis in Karst and other similar areas.关键词
土地利用/覆被变化/人工神经网络/元胞自动机/ANN-CA耦合模型/贵州省猫跳河流域Key words
land use/cover change/artificial neural network/cellular automata/ANN-CA model/Maotiao River Basin in Guizhou Province分类
天文与地球科学引用本文复制引用
王磊,王羊,蔡运龙..土地利用变化的ANN-CA模拟研究——以西南喀斯特地区猫跳河流域为例[J].北京大学学报：自然科学版,2012,48(1):116-122,7.基金项目
国家自然科学基金（40871047）资助 （）
