摘要
在移动互联网时代,资源互联和共享、群体协同与合作成为科学和社会发展的新动力,可视化、人机交互技术等在协同式知识传播与科学发现中发挥着重要作用。本文对时空大数据可视化的人机交互技术、数据挖掘技术及其可视化展示方法及其相关领域进行了大量研究。通过研究,本文将可视化分为描述可视化、挖掘型可视化、交互可视化,并对其进行详细的分析,最后对时空大数据可视化的发展趋势进行展望。
In the era of mobile Internet,group collaboration and cooperation have become the new impetus for scientific and social development.Visualization and human-computer interaction technologies play an important role in collaborative knowledge dissemination and scientific discovery.This paper summarizes visualization methods for spatio-temporal data and provides a classification of existing analytical methods,visualization techniques,tools and field of application,and briefly analyze the challenges and development trends of spatio-temporal data visualization.
作者
杨丽娜
马照亭
朱立宁
刘丽
YANG Lina;MA Zhaoting;ZHU Lining;LIU Li(Institute of Cartography and Geographic Information System,Chinese Academy of Surveying and Mapping,Beijing 100039,China;School of Geomatics,Liaoning Technical University,Fuxin 123000,China)
出处
《测绘与空间地理信息》
2020年第5期140-142,146,149,共5页
Geomatics & Spatial Information Technology
关键词
可视化
数据挖掘
人机交互技术
visualization
data mining
human-computer interaction
