Design And Realization Of Visualization System Of Agricultural Products Of "One Belt And One Road"

Based on the development of the "Belt and Road" and the acceleration of China’s agricultural process,a large number of researchers have carried out the relevant subjects of the “Belt and Road” agricultural product trade.Most of these scholars are devoted to qualitative analysis and macro grasp,which requires a visual platform as data support to analyze quantitatively and predict the data of agricultural product trade.Due to the scattered data sources of the “Belt and Road” agricultural products,some websites have made visualization functions for the trade data,but the degree and interactivity are poor.Most researchers in these fields studied economics and history etc.,so the data problems have become a major problem in their research process.Therefore,in the background of the “Belt and Road”,developing a system that can integrate,manage and visualize data has certain significance for assisting decision-making and scientific research.This thesis adopts the development model of the separation of front and back end to build a visualization system for the agricultural trade of the “Belt and Road” based on the trade data.First,the visualization methods and data characteristics are studied and different visual interaction methods are designed according to the existing problems and the diverse demands of users,such as interactive query,space-time data display and interactive chart.Secondly,using Vue,Express,ECharts,My SQL and other technologies to develop data visualization functions and visual data management functions can realize the rapid query,visual analysis and management of the“Belt and Road” agricultural product trade.Finally,based on the data of this system,the “Belt and Road” and China’s agricultural product import and export volume are predicted and analyzed,and visualized.The visualization method can highlight the impact of the “Belt and Road” on agricultural product trade and facilitate users to analyze data from different dimensions such as time and space,as well as retrieve and manage data quickly according to their needs.The system finally completes the expectation of data integration,high degree of visualization,and good interactivity,which is helpful for researchers and policymakers to make scientific decisions.