北京大学学报：自然科学版2011，Vol.47Issue(4)：750-758,9.
元胞自动机模型的尺度敏感性分析
Scale Sensitive Analysis of Cellular Automata Model
摘要
Abstract
The authors present an analysis of how scale issues affect a cellular automata model of land use change developed for a research area in Longhua Town,Shenzhen City.The scale dependence of the model is explored by varying the resolution of the input data in 1990 used to calibrate the model and changing the length of model simulating time.To explore the impact of these scale relationships the model is run with input datasets constructed at the following spatial resolutions： 30,60,90,120,150,180,210 and 240 m for simulating land use in 1995 and 2000.Three kinds of indicator,i.e.point by point accuracy,Kappa and real change accuracy are used to assess the scale sensitivity of the model.The results show that 1） the more fine the cell sizes are,the higher the accuracy of the simulation results;2） path dependence of the isolated cells is an important source of the spatial scale sensitivity of CA model;3） the specific geographical process in different periods of time is an important source of the temporal sensitivity scale of CA model.The results have great significance for the scale selection of CA model.关键词
元胞自动机/LUCC/尺度/敏感性/人工神经网络/深圳Key words
cellular automata/LUCC/scale/sensitive analysis/neural network/Shenzhen分类
天文与地球科学引用本文复制引用
..元胞自动机模型的尺度敏感性分析[J].北京大学学报：自然科学版,2011,47(4):750-758,9.基金项目
国家自然科学基金（40635028,40771001）资助 （）
