| 基于ANN-CA模型的滨海新区土地利用预测 |
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| 引用本文： | 白新萍.基于ANN-CA模型的滨海新区土地利用预测[J].安徽农业科学,2011,39(12):7321-7324. |
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| 作者姓名： | 白新萍 |
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| 作者单位： | 中国科学院地理科学与资源研究所,北京,100101;中国科学院研究生院,北京,100049 |
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| 摘 要： | 利用遥感和地理信息系统技术获取1993～2008年滨海新区城市土地利用现状数据,基于Matlab 2008a,耦合地理信息系统、人工神经网络和地理元胞自动机,在黎夏等提出的ANN-CA模型基础上进行调整,模拟了滨海新区的土地利用变化趋势。该模型综合考虑了影响城市土地利用变化的社会、经济和自然3个层面的10个空间变量,并加入了不同的随机扰动项,进行模型训练和未来预测。研究表明,未来15年滨海新区仍将经历城市扩张的过程,大量的耕地、盐田等非城市用地将会转化为新兴的城市化地区,但扩张速度有所放缓,土地利用变化从规模型向效益型转变。
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| 关 键 词： | 人工神经网络 元胞自动机 城市土地利用 滨海新区 |
Forecast of Land Use Based on ANN-CA in Tianjin New Coastal Area |
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| BAI Xin-ping.Forecast of Land Use Based on ANN-CA in Tianjin New Coastal Area[J].Journal of Anhui Agricultural Sciences,2011,39(12):7321-7324. |
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| Authors: | BAI Xin-ping |
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| Institution: | BAI Xin-ping(Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101) |
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| Abstract: | An extended artificial neural network with cellular automata model(ANN-CA)in forecasting urban land use change was presented based on the ANN-CA of Li Xia.Ten factors of social economical and natural aspects were considered synthetically in this model.Historical data sets were derived from the remote sensing images in four different stages from 1993 to 2008,with the support of some other relief map,district map and DEM.Random values were designed to increase the accuracy of this model.The results showed tha... |
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| Keywords: | Artificial neural network Cellular automata Urban land use New Coastal Area |
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