地球信息科学学报

地球信息科学学报 ›› 2022, Vol. 24 ›› Issue (10): 1911-1924.doi: 10.12082/dqxxkx.2022.220375

• 地理流与出行行为 • 上一篇    下一篇

全球尺度地理多元流的网络化挖掘及关联分析研究

秦昆1,2(), 喻雪松1, 周扬1, 张凯1, 刘东海1, 王其新1, 贾涛1,2,*(), 肖锐1,2, 卢宾宾1,2, 许刚2,3, 余洋1,2, 孟庆祥1,2   

  1. 1.武汉大学遥感信息工程学院,武汉 430079
    2.武汉大学社会地理计算联合研究中心,武汉 430079
    3.武汉大学资源与环境科学学院,武汉 430079
  • 收稿日期:2022-06-01 修回日期:2022-07-20 出版日期:2022-10-25 发布日期:2022-12-25
  • 通讯作者: *贾涛（1983— ）,男,山西闻喜人,博士,副教授,主要研究方向为时空大数据分析。E-mail: tao.jia@whu.edu.cn
  • 作者简介:秦昆（1972— ）,男,湖北随州人,博士,教授,主要研究方向为时空大数据分析、地理多元流分析、空间人文与社会地理计算。Email: qink@whu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42171448);自然资源部地理国情监测重点实验室开放基金重点项目(2020NGCMZD03)

Networked Mining and Association Analysis of Geographical Multiple Flows at a Global Scale

QIN Kun1,2(), YU Xuesong1, ZHOU Yang1, ZHANG Kai1, LIU Donghai1, WANG Qixin1, JIA Tao1,2,*(), XIAO Rui1,2, LU Binbin1,2, XU Gang2,3, YU Yang1,2, MENG Qingxiang1,2   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. Geo-computation Center for Social Sciences, Wuhan University, Wuhan 430079, China
    3. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
  • Received:2022-06-01 Revised:2022-07-20 Online:2022-10-25 Published:2022-12-25
  • Contact: JIA Tao
  • Supported by:
    National Natural Science Foundation of China(42171448);Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources(2020NGCMZD03)

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摘要：

世界是一个相互关联的网络。物质、信息、能量等的移动或交换嵌入地理空间形成的地理多元流网络,为从地理和网络角度研究全球性问题提供了新的视角。如何构建多主题、时变的地理多元流网络,识别其网络结构、时变规律和关联模式,并为解决全球性的人口移动、航空交通、国际关系、国际贸易等问题提供支持,是迫切需要解决的问题。本文提出了全球尺度地理多元流网络化挖掘及关联分析的研究框架,包括：多源数据收集与整理、地理多元流网络构建与结构识别、地理多元流网络演化分析、地理多元流网络关联分析。然后,分别对国际关系流网络、国际贸易流网络、全球航班流网络、全球人口移动流网络的相关研究进行综述分析,并结合示例介绍了其研究思路。此外,进一步综述分析了地理多元流关联分析的相关研究并提出了研究思路。本文为全球尺度地理多元流网络研究提供了一套研究框架和思路,并为国际关系、国际贸易、航空交通、人口移动等全球性问题研究提供参考,有望为发展基于“流”的时空分析方法做出基础性贡献。

关键词: 地理多元流, 复杂网络, 国际关系流网络, 国际贸易流网络, 航空交通流网络, 人口移动流网络, 网络化挖掘, 关联分析

Abstract:

The world is networked and interconnected. The Geographical Multiple Flow (GMF) network formed by the movement or exchange of substances, information, and energy embedded in global geographical space, has become a novel perspective to investigate global issues through the perspectives of geography and networks. How to construct a multi-topic, time varying GMF networks, identify network structures, spatiotemporal evolution patterns, and association patterns, and provide support for solving global population movement, aviation transportation, international relations, international trade, and other issues, is a scientific problem that needs to be solved urgently in the fields of geographical information science and social sciences. In this paper, firstly, a research framework of network mining and association analysis of GMF networks on a global scale is explored, which includes 4 parts: 1) collection and processing of multi-source data; 2) construction and structure identification of GMF networks; 3) evolutionary analysis of GMF networks; 4) association analysis of GMF networks. Secondly, we review the research on international relation networks, international trade networks, global aviation transportation networks, and global human movement networks, with some specific demonstration experiments. Thirdly, we review the association analysis of GMF and proposed some research thoughts. Conclusions and discussions are made finally Our paper proposes a research framework and provides some research thoughts of GMF networks on a global scale, which provides references for global issues such as international relations, international trade, aviation transportation and human mobility and makes fundamental contribution to the development of flow-based spatiotemporal analysis methods.

Key words: Geographical Multiple Flow (GMF), complex network, international relation networks, international trade networks, aviation transportation networks, human movement networks, networked mining, association analysis