摘要
用归纳学习与GIS空间分析相结合的方法研究了城市中心区共享式立体停车库的选址分析和评价.结果表明:归纳学习与空间分析相互促进,提高了GIS空间数据分析与决策支持的智能化水平.以兰州市为例,通过实例分析对比,证明了该方法的有效性.
The site selecting of metropolitan mechanical parking system is analyzed and evaluated with inductive learning and GIS spatial data analysis. The inductive learning and spatial analysis are mutual promoted,and the intelligence level of the GIS spatial data analysis and the division support are improved. Lanzhou City has been taken as an example here and the method has been proven to be correct. It shows that the proposed method is effective.
出处
《兰州交通大学学报》
CAS
2009年第3期109-114,共6页
Journal of Lanzhou Jiaotong University
基金
甘肃省自然科学基金(0803RJZA020)
关键词
空间分析
归纳学习
空间数据挖掘
立体停车库
选址分析及评价
spatial data analysis
inductive learning
spatial data mining
mechanical parking system
site selecting analysis and evaluation
