Cloud storage and heatmap generation method of trajectory big data

doi:10.13474/j.cnki.11-2246.2021.323

Abstract

Abstract: 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.

Key words: HBase, trajectory data, WebGIS, clustering, visualization

CLC Number:

P208

ZHANG Hao, ZHANG Jianqin, GUO Xiaogang, LU Jian, LU Hao. Cloud storage and heatmap generation method of trajectory big data[J]. Bulletin of Surveying and Mapping, 2021, 0(10): 146-149.

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