地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (5): 978-988.doi: 10.12082/dqxxkx.2020.190770

• “空间综合人文学与社会科学”专辑 • 上一篇    下一篇

历史名人轨迹的空间可视化与分析

王妮满1, 秦昆1,*(), 罗俊2, 陈昆1, 胡圣1   

  1. 1.武汉大学遥感信息工程学院,武汉430079
    2.武汉大学社会发展研究所,武汉 430072
  • 收稿日期:2019-12-11 修回日期:2020-01-10 出版日期:2020-05-25 发布日期:2020-07-25
  • 通讯作者: 秦昆 E-mail:qink@whu.edu.cn
  • 作者简介:王妮满(1996— ),女,海南琼海人,硕士生,主要研究方向为空间分析。E-mail:nimanwang@whu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2017YFB0503604)

Spatial Visualization and Analysis of Trajectories of Historical Celebrities

WANG Niman1, QIN Kun1,*(), LUO Jun2, CHEN Kun1, HU Sheng1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. Institute for social development, Wuhan University, Wuhan 430072, China
  • Received:2019-12-11 Revised:2020-01-10 Online:2020-05-25 Published:2020-07-25
  • Contact: QIN Kun E-mail:qink@whu.edu.cn
  • Supported by:
    National Key Research and Development Program of China(2017YFB0503604)

摘要:

历史名人的行为轨迹反映了当时的历史文化背景,通过历史名人行为轨迹的空间化和可视化,可以对历史社会状态进行探索和分析。对历史名人的社交关系网络进行可视化研究,有利于剖析当时的政治背景与人物关系。目前,基于GIS的空间人文社会科学深层次分析方法和工具还很少,根据地理位置对历史人物的社交网络进行分时段的研究也很少。本文以玄奘和欧阳修为例,探索了基于WebGIS的历史人物轨迹空间可视化分析方法,基于核密度估计与标准差椭圆的空间分析方法,分析历史名人轨迹点的空间分布特征,统计迁徙指数、首都距、家乡距、成长地距以分析基于距离的轨迹点移动特点;分时段构建了历史名人的空间社交网络,并结合历史背景、名人事迹、名人作品和空间化结果进行了综合分析。分析结果表明: ① 历史名人的迁移轨迹与当时的历史人口迁移趋势基本是一致的,受社会变动影响较大;② 历史名人在事业上升期有更大的社交网络圈,而在人生没落阶段社交网络圈减小。本文对历史名人轨迹的空间可视化与分析方法进行了探索,可以为空间人文社会科学相关领域的分析研究提供参考。

关键词: 空间综合人文社会科学, 历史人物轨迹, 空间可视化, 空间社交网络分析, 空间分析, 统计分析, 标准差椭圆, 社交网络

Abstract:

The trajectory of historical celebrities reflects the historical and cultural background at their time. Through the spatial visualization and analysis of the trajectory of historical celebrities, the historical and social status can be explored and analyzed. The visualization and analysis of the social network of historical celebrities is conducive to the analysis of the political background and the relationship between the characters at that time.However, there are limited GIS based analysis tools for humanities and social sciences and historical celebrities analysis. Most of the current studies to investigate the social network of the historical celebrities only analyze the social network within a certain time period, and fail to conduct a time-division study on the geographical location of social relationships. Taking Xuan Zang and Ouyang Xiu as examples, this paper explores the visualization method of historical celebrities' trajectories based on WebGIS, analyzes the spatial distribution of historical celebrities' trajectory points based on kernel density estimation and standard deviation ellipse, and constructs the spatial social network of historical celebrities at multiple time stages. Finally, this paper analyzes the social network of historical celebrities with their historical background,stories, works, and spatial results.We find that: (1) The migration trajectories of historical celebrities are basically consistent with the migration trend at that time, which is greatly affected by social changes; (2) Historical celebrities had a larger social network circle when they were in power, while the social network circle was greatly reduced at their downfall. This paper explores the methods of spatial visualization and the analysis of the trajectories of historical celebrities, which can be referred for the analysis of spatially integrated humanities and social science.

Key words: spatially integrated humanities and social science, trajectories of historical celebrities, spatial visualization, spatial social network, spatial analysis, statistical analysis, standard deviational ellipse, social network analysis