Journal of Geo-information Science, Volume. 22, Issue 5, 978(2020)
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.
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Niman WANG, Kun QIN, Jun LUO, Kun CHEN, Sheng HU.
Received: Dec. 11, 2019
Accepted: --
Published Online: Nov. 12, 2020
The Author Email: QIN Kun (qink@whu.edu.cn)