基于地图的教育大数据可视分析方法探讨

A Study of Map-based Visual Analysis Method for Big Data in Education

针对当前教育大数据的管理与分析缺乏基于地图的应用模式,且可视化展示与支持决策分离,不同用户缺乏统一资源入口平台的问题,文章在分析基于地图的教育大数据可视分析应用模式与服务模型的基础上,提出了一种基于地图的教育大数据可视分析方法,包括基于地图定位与映射的数据整合、地图时空分布可视化、主题图层叠加与融合分析、基于缓冲区域分析的资源关联分析和基于时序路径分析的智能导学等方法,并讨论了基于地图统一入口的空间检索与资源定位精准服务方法,对教育大数据的信息挖掘、智能应用、精准服务进行了有效探索,并为教育数据相关的获取与处理提供思路。

Currently, the management and analysis of big data in education lacks the map-based application mode, visual presentation is separated from decision support, and different users lack unified resource portal. In order to deal with those problems, this paper proposes a map-based visual analysis method for big data in education, which includes the data integration by using location and geo-mapping,the virtualization of spatial-temporal distribution on map, the overlay and fusion of map layers with different themes, the resource correlation based on buffer analysis, and the intelligent tutoring based on the timing path analysis. Then the precise service providing spatial retrieval and resource location of map-based unified entrance is discussed. This study is beneficial for data mining, intelligent application, and precise service of big data in education and also provides a feasible way for the acquisition and processing of educational data.