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

被引：6

作者：

Jun, Xu ^{[1
]}

Ju, Liu ^{[1
,2
]}

Yang, Xu ^{[1
,2
]}

Tao, Pei ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China

来源：

JOURNAL OF GEOGRAPHICAL SCIENCES | 2021年 / 31卷 / 02期

基金：

中国国家自然科学基金;

关键词：

population flow; visualization; Tencent location big data; spatiotemporal pattern; Qinghai-Tibet Plateau; SPATIAL INTERACTION-MODEL; CHINA; MIGRATION; DYNAMICS; PATTERNS; NETWORK;

D O I：

10.1007/s11442-021-1844-x

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

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.

引用

页码：231 / 244

页数：14

共 39 条

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