摘要
随着数据获取技术的快速发展,海量时空数据的来源越来越广。然而受限于数据的认知能力,人们无法高效地从海量时空数据中获取有用信息。利用人的视觉带宽,进行数据可视化分析,可以大大增强对数据的认知能力,提高数据分析效率,从而更快地对时空进行感知,制定决策。时空立方体作为一种三维的时空数据可视化方法,可以直观地展示时空数据的动态特质、周期性规律以及分布状况,对于辅助决策具有重要意义。本文利用WebGL技术,实现了Web端时空立方体的快速生成;并基于中国铁路运输开展实验,对全国铁路运输时空数据进行可视化分析,验证了网络时空可视化分析的实用性。
As the developing of data acquisition techniques,petabytes of spatial-temporal data can be easily accessed by various methods. But due to the limitation of human cognitive capacity,it is difficult to extract intelligible information efficiently from the database.Visual analysis speeds up the cognitive process which is feasible to assist efficiency improvement and decision making. The space-time cube is a practical geovisualization method that provides both spatial and temporal patterns of movement. In this paper,we proposed a framework based on Web GL to implement STC,Based on the experiments of China railway transport,the paper analyzes the spatialtemporal data of railway transportation in China,and verifies the practicability of network spatial-temporal visualization analysis.
作者
李力
刘梦茜
谷宇航
郑景飚
LI Li;LIU Mengxi;GU Yuhang;ZHENG Jingbiao(Institute of Geographic Space Information, Information Engineering University, Zhengzhou 450001, China;Public Security Fire Detachment of Zhengzhou, Zhengzhou 450006, China;University of Twente, ITC, Enschede, 7514 AE)
出处
《测绘与空间地理信息》
2019年第5期94-97,共4页
Geomatics & Spatial Information Technology
关键词
时空数据可视化
可视化分析
时空立方体
交通运输
spatial-temporal visualization
visual analysis
space-time cube
traffic transport
