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首页|期刊导航|测绘科学技术学报|多视图协同交互的港口规模与国家经济关联关系可视化研究

多视图协同交互的港口规模与国家经济关联关系可视化研究

闫金珠 李少梅 王映雪 尹广志

测绘科学技术学报2025,Vol.41Issue(1):80-87,96,9.
测绘科学技术学报2025,Vol.41Issue(1):80-87,96,9.DOI:10.3969/j.issn.1673-6338.2025.01.012

多视图协同交互的港口规模与国家经济关联关系可视化研究

Visualization Research on the Relationship Between Port Scale and National Economy Based on Multi-view Collaboration Interaction

闫金珠 1李少梅 1王映雪 2尹广志1

作者信息

  • 1. 信息工程大学,河南 郑州 450001
  • 2. 61206部队,北京 100042
  • 折叠

摘要

Abstract

Aiming at the complex data of port scale and national economy,the grey correlation model and entropy weight grey correlation model were put forward to calculate the correlation degree between port scale and national e-conomic indexes in the paper.Based on the idea of multi-view Collaboration,a visualization platform of the rela-tionship between port scale and national economy was constructed,and correlation data visualization was carried out from national and regional levels by using maps,radar charts and other view styles.Based on the visualization results,the correlation between them was analyzed from three aspects,which included the influence degree of each economic indicator on the development of port scale,the stability of the correlation degree and the overall correla-tion degree.In this paper,the data of some countries along the"Belt and Road"were taken as examples for experi-ments.The results show that there is a close correlation between the port scale and the national economy in most countries along the"Belt and Road",and the multi-view collaborative interactive visualization methods can effec-tively express and analyze the relationship between port scale and national economy.

关键词

多视图协同/可视化/港口规模/灰色关联模型/熵权灰色关联模型

Key words

multi-view collaboration/visualization/port scale/grey relational model/entropy weight grey correla-tion model

分类

天文与地球科学

引用本文复制引用

闫金珠,李少梅,王映雪,尹广志..多视图协同交互的港口规模与国家经济关联关系可视化研究[J].测绘科学技术学报,2025,41(1):80-87,96,9.

基金项目

国家自然科学基金项目(42101454 ()

42101455) ()

河南省中原学者资助项目(202101510001) (202101510001)

智慧中原地理信息技术河南省协同创新中心和时空感知与智能处理自然资源部重点实验室基金资助项目(212102). (212102)

测绘科学技术学报

1673-6338

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