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作 者:闫金珠 李少梅[1] 王映雪 尹广志 YAN Jinzhu;LI Shaomei;WANG Yingxue;YIN Guangzhi(Information Engineering University,Zhengzhou 450001,China;61206 Troops,Beijing 100042,China)
机构地区:[1]信息工程大学,河南郑州450001 [2]61206部队,北京100042
出 处:《测绘科学技术学报》2025年第1期80-87,96,共9页Journal of Geomatics Science and Technology
基 金:国家自然科学基金项目(42101454,42101455);河南省中原学者资助项目(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)。
摘 要:针对复杂的港口规模与国家经济数据,提出利用灰色关联模型和熵权灰色关联模型计算港口规模与国家各经济指标的关联度。基于多视图协同的思想,构建港口规模与国家经济关联关系可视化平台,从国家和区域两个层面,利用地图、雷达图等多种视图样式进行关联关系数据可视化表达。基于可视化结果从各项经济指标对港口规模发展的影响程度、关联程度的稳定性和整体关联程度3个方面对二者之间的关联关系进行分析。以“一带一路”沿线部分国家数据为例进行实验,结果表明,“一带一路”沿线多数国家的港口规模与国家经济之间存在着密切的关联关系,利用多视图协同交互的可视化方法可以有效进行港口规模与国家经济关联关系的表达与分析。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 economic indexes in the paper.Based on the idea of multi-view Collaboration,a visualization platform of the relationship 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 correlation degree.In this paper,the data of some countries along the“Belt and Road”were taken as examples for experiments.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 effectively 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
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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