轨迹大数据云存储与热力图生成方法

针对目前轨迹大数据基于WebGIS的热力图展示中的成图耗时较长、用户移动缩放交互差等问题，本文建立了基于HBase的轨迹数据与地图数据存储模型，为轨迹大数据在电子地图上进行热力图展示提供了存储方法，同时提出一种基于聚类处理的轨迹数据热力图可视化方法，针对不同缩放级别能够有效地减少数据绘制计算量与数据传输量，较大地提升了热力图渲染与展示的效率。试验证明，该方案能够实现轨迹数据、电子地图数据的存储，提高热力图可视化绘制效率，能够为轨迹数据挖掘与分析提供技术支撑。

Cloud storage and heatmap generation method of trajectory big data

At present, WebGIS-based heatmap display of large trajectory data has the problems of long mapping time-consuming and poor interaction between user's mobile scaling and zooming.This paper establishes a storage model of track data and map data based on HBase, which provides a storage basis for the thermal diagram display of large track data on electronic maps.A visualization method based on clustering is proposed for trajectory data heatmap, which can effectively reduce the amount of data drawing calculation and data transmission, and improve the efficiency of rendering and displaying heatmap.Experiments showed that this scheme can store trajectory data and electronic map data, improve the efficiency of visualization drawing of heatmap, and provide technical support for trajectory data mining and analysis.