基于WebGIS的新冠肺炎疫情可视化系统研发

Research and Development of a COVID-19 Epidemic Visualization System Based on WebGIS

为了更好更直观地展示世界各国以及国内各省市的新冠肺炎疫情感染情况,基于WebGIS技术,将联通大数据、百度迁徙数据以及国内外疫情数据进行整合,利用Cesium二、三维开源框架,结合Echarts图表库等可视化工具,搭建了包括全球疫情、全国疫情、武汉模拟模块的新冠肺炎疫情可视化系统。由于数据量较大,在进行页面展示时如果采用原始数据将致页面崩溃。采用一种均匀采样的数据压缩算法,对数据量进行压缩,实现了疫情数据的可视化分析与展示,为政府和公众提供了疫情信息数据,对于相关部门防控新冠肺炎疫情有重要的参考价值。

In order to better and more intuitively display the infection situation of the COVID-19 epidemic in countries around the world and domestic provinces and cities,based on WebGIS technology,the big data of Unicom,Baidu migration data and domestic and foreign epidemic data are integrated.Using Cesium two and three-dimensional open source frameworks,combined with Echarts charts visualization tools such as libraries,a COVID-19 epidemic visualization system that includes global epidemics,national epidemics and Wuhan simulation modules is built up.Due to the large amount of data,the page display will be collapsed when the original data is used for the pape display.A uniform sampling method is adopted.The data compression algorithm compresses the amount of data and realizes the visual analysis and display of epidemic data.The method provides the government and the public with epidemic information data,and has important reference value for relative departments to prevent and control the COVID-19 epidemic.