利用方向玫瑰图分析社会经济重心轨迹移动模式

佘冰, 朱欣焰, 刘汝倩, 呙维

佘冰, 朱欣焰, 刘汝倩, 呙维. 利用方向玫瑰图分析社会经济重心轨迹移动模式[J]. 武汉大学学报 ( 信息科学版), 2016, 41(8): 1055-1059. DOI: 10.13203/j.whugis20140417
引用本文: 佘冰, 朱欣焰, 刘汝倩, 呙维. 利用方向玫瑰图分析社会经济重心轨迹移动模式[J]. 武汉大学学报 ( 信息科学版), 2016, 41(8): 1055-1059. DOI: 10.13203/j.whugis20140417
SHE Bing, ZHU Xinyan, LIU Ruqian, GUO Wei. A Rose-diagram Based Approach for Analyzing Movement Patterns of Socioeconomic Gravity Center Trajectories[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1055-1059. DOI: 10.13203/j.whugis20140417
Citation: SHE Bing, ZHU Xinyan, LIU Ruqian, GUO Wei. A Rose-diagram Based Approach for Analyzing Movement Patterns of Socioeconomic Gravity Center Trajectories[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1055-1059. DOI: 10.13203/j.whugis20140417

利用方向玫瑰图分析社会经济重心轨迹移动模式

基金项目: 

国家自然科学基金 41271401

国家科技支撑计划 2012BAH35B03

详细信息
    作者简介:

    佘冰, 博士生, 主要从事时空数据分析与自然语言位置理解研究。coolnanjizhou@163.com

    通讯作者:

    呙维, 博士, 副教授, guowei98032@gmail.com

  • 中图分类号: P208

A Rose-diagram Based Approach for Analyzing Movement Patterns of Socioeconomic Gravity Center Trajectories

Funds: 

The National Nature Science Foundation of China 41271401

National Science & Technology Support Plan 2012BAH35B03

More Information
    Author Bio:

    SHE Bing, PhD, specializes in the spatio-temporal data analysis and natural language location understanding. E-mail: coolnanjizhou@163.com

    Corresponding author:

    GUO Wei, PhD, asscioate professor, E-mail: guowei98032@gmail.com

  • 摘要: 社会经济重心的移动轨迹可以直观反映出研究区域整体的的宏观地理结构和演变特征,而重心轨迹的相互关系可以体现出不同社会经济属性的地理关联关系。将轨迹分析与地理重心模型相结合,通过方向玫瑰图对由社会经济数据形成的轨迹移动模式进行可视化分析。其中,利用轨迹方向玫瑰图分析单条及全局重心移动轨迹的移动模式,并通过轨迹蜿蜒度提取显著的移动模式;利用轨迹对方向半玫瑰图定量描述两条重心轨迹之间的相对关系。对1985~2004年间我国大陆地区40项经济指标的重心轨迹进行移动模式分析,实验证明了方法的可靠性和有效性。
    Abstract: The movement trajectories of socioeconomic gravity centers can reflect the characteristics of micro and macro geographical structure evolution, while the correlation of gravity center trajectories indicates geographic relationships between different socioeconomic attributes. In this paper, we combine the analysis methods for entity object trajectories with geographic Center-of-Gravity models. We analyze movement patterns of trajectories generated from socioeconomic data as represented through directional rose-diagrams. A directional rose-diagram for trajectories allows analyzing movement patterns of socioeconomic gravity center trajectories from both individual and global scales. We also can extract the gravity center trajectories displaying significant patterns by tortuosity analysis. Besides, the half directional rose-diagram, an analysis tool especially for trajectory pairs, can intuitively express the relative relationship between two center trajectories. We take the trajectories of the center of gravity for 40 economic indicatorsin mainland China from 1985 to 2004 and mine their movement patterns as an example. This experiment provides a set of effective exploratory spatial-temporal data analysis tools for the study of socioeconomic data.
  • 图  1   根据蜿蜒度排序结果

    Figure  1.   Sorted by Tortuosity

    图  2   全局轨迹方向玫瑰图

    Figure  2.   Global Trajectories Directional Rose-diagram

    图  3   轨迹对方向半玫瑰图提取结果

    Figure  3.   Extraction Results of Directional Semi-rose-diagram

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出版历程
  • 收稿日期:  2015-03-29
  • 发布日期:  2016-08-04

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