A Study on the Driving Forces of Urban Expansion Using Rough Sets
文献类型:会议论文
作者 | Ge Y. |
出版日期 | 2009 |
会议名称 | Lecture Notes in Computer Science |
关键词 | Driving forces urban expansion rough set spatial data pattern growth china classification land form |
页码 | 176-188 |
英文摘要 | Urban expansion is the direct manifestation of urbanization and greatly affects economic growth and the decision making process for urban development policies. Therefore, extracting and analyzing the driving forces of urban expansion is an essential issue, especially for future land use planning and urban construction. This paper utilizes rough sets to analyze the driving forces of urban expansion in Guangdong Province, China. To test the validity of the driving force rules, the study area is split into two groups: the training set and the validation set. The driving force rules for urban expansion are extracted in the training set and then used to predict the urban expansion in the validation set. The overall prediction accuracy is 75.5%. |
收录类别 | CPCI |
会议录出版者 | Springer-Verlag Berlin |
语种 | 英语 |
ISSN号 | 0302-9743 |
ISBN号 | 978-3-642-02453-5 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/25104] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Ge Y.. A Study on the Driving Forces of Urban Expansion Using Rough Sets[C]. 见:Lecture Notes in Computer Science. |
入库方式: OAI收割
来源:地理科学与资源研究所
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