Journal of Geographical Sciences ›› 2021, Vol. 31 ›› Issue (2): 231-244.doi: 10.1007/s11442-021-1844-x

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Visualization and analysis of local and distant population flows on the Qinghai-Tibet Plateau using crowd-sourced data

XU Jun1(), LIU Ju1,2, XU Yang1,2, PEI Tao1,2   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
  • Received:2020-03-17 Accepted:2020-09-30 Online:2021-02-25 Published:2021-04-25
  • About author:Xu Jun, Associate Professor, specialized in GIS, spatial data mining. E-mail:xujun@lreis.ac.cn
  • Supported by:
    Strategic Priority Research Program of Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road (Pan-TPE)(XDA20040401);National Natural Science Foundation of China(41525004);National Natural Science Foundation of China(41771477);National Natural Science Foundation of China(42071376)

Abstract:

Human migration between cities is one important aspect of spatial interaction that not only reflects urban attractiveness but also denotes interactions amongst agglomerations. We therefore implemented a web-based visualization system to analyze and interactively explore local and distant population flow patterns between cities on the Qinghai-Tibet Plateau (QTP). We utilized 2017 Tencent population flow data from which we initially constructed inbound and outbound vectors for cities on the QTP. We then used multidimensional scaling to examine and visualize migration patterns and similarities between cities. Results reveal the presence of six local and three distant human mobility patterns on the QTP as well as average summer monthly migrations more than twice the level of those in the winter.

Key words: population flow, visualization, Tencent location big data, spatiotemporal pattern, Qinghai-Tibet Plateau