| 基于GIS与SOFM网络的中国综合自然区划 |
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| 引用本文： | 黄姣,高阳,赵志强,李双成.基于GIS与SOFM网络的中国综合自然区划[J].地理研究,2011,30(9):1648-1659. |
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| 作者姓名： | 黄姣 高阳 赵志强 李双成 |
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| 作者单位： | 北京大学城市与环境学院,地表过程分析与模拟教育部重点实验室,北京 100871 |
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| 基金项目： | 国家自然科学基金(40771001、40971052) |
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| 摘 要： | 综合自然区划一直是中国地理学界的研究核心和热点之一，已有大量的区划方案应用于指导社会生产实践或教学活动中。已有的区划工作主要是基于传统地域划分研究范式，大多采用专家经验集成方法和技术。专家经验与知识的主观性和个体差异性会对区划方案的科学性和客观性产生影响。为了弥补传统区划范式的不足，丰富区划的方法与途径，本文探讨了自组...
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| 关 键 词： | 综合自然区划 GIS SOFM网络 中国 |
| 收稿时间： | 2010-10-19 |
Comprehensive physiographic regionalization of China using GIS and SOFM neural network |
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| HUANG Jiao,GAO Yang,ZHAO Zhi-qiang,LI Shuang-cheng.Comprehensive physiographic regionalization of China using GIS and SOFM neural network[J].Geographical Research,2011,30(9):1648-1659. |
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| Authors: | HUANG Jiao GAO Yang ZHAO Zhi-qiang LI Shuang-cheng |
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| Institution: | College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Peking University, Beijing 100871, China |
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| Abstract: | Comprehensive physiographic regionalization has long been a core issue of physical geography in China.A great number of regionalization themes have been developed and applied as guidelines for regional development and geography teaching.However,these themes mainly use the traditional expertise-experiences-based regionalization methodology,which probably make themselves unreliable due to certain prejudices and different knowledge backgrounds of each individual.In order to overcome this obstacle,and to enrich... |
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| Keywords: | comprehensive physiographic regionalization GIS SOFM neural network China |
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