互联网位置大数据空间可视化研究与应用

Research and Application of Internet Location Big Data Spatial Visualization

在大数据时代,基于互联网、云计算、物联网发展的大数据技术引起了地理信息服务模式的改变。通过引入以阿里巴巴互联网大数据为主的动态位置数据,探索了动态位置大数据与地理信息资源的融合模式,重点研究了动态位置大数据的清洗扩样、地理关联以及出行特征提取等关键技术,在此基础上基于Leaflet、DataV、ECharts等开源工具,设计了一套面向大数据可视化应用的框架,并探讨了成果在城市规划、港区管理、疫情防控、森林防火等领域的应用模式和前景。

In big data era, big data technology based on Internet, cloud computing and IoT has changed the traditional GIS model. By introducing dynamic location data from Alibaba’s Internet big data, we explored the synergy between dynamic location data and GIS resources, and researched the key techniques, such as data cleaning, data expansion, geographical relevance and travel pattern extraction. Based on the open source tools like Leaflet, DataV and ECharts, we designed an big data oriented and visualized application framework, and explored its possible applications in urban planning, port management, COVID prevention and control, forest fire prevention and so on.