测绘科学技术学报2017，Vol.34Issue(2)：211-214,220,5.DOI:10.3969/j.issn.1673-6338.2017.02.018
基于多视图协同的时空数据可视分析方法
Spatio-Temporal Data Visual Analysis Method Based on Multiple-View Collaboration
摘要
Abstract
According to requirements of crime visual analysis,a multi-view collaborative visual analysis model is proposed which contains a Visual Analysis Model (VAM) and a Interactive Collaborative Model (ICM).The corresponding process is divided into four steps which include data transformation,data analysis,visual mapping and visual drawing.Accordingly,the observer pattern is applied to realize the coordination of the related views in this interactive process.Furthermore,the architecture of multiple-view collaboration is designed based on "view-to-data" and "view-to-view" interaction Web patterns.Finally,a prototype system of spatio-temporal data visual analysis for crime in Fuzhou is designed and implemented which is used to analyze the spatiotemporal distribution of pickpocketing and a crime pattern for the high-value cases involving pickpocketing.关键词
多视图协同/时空数据/可视分析/交互协同/犯罪数据Key words
multiple-view collaboration/spatio-temporal data/visual analysis/interactive cooperation/crime data分类
天文与地球科学引用本文复制引用
刘明超,吴升,余劲松弟..基于多视图协同的时空数据可视分析方法[J].测绘科学技术学报,2017,34(2):211-214,220,5.基金项目
海西政务大数据应用协同创新中心资助(闽教科[2015]75号) （闽教科[2015]75号）
福建省科技创新平台项目(2015H2001) （2015H2001）
国家863重大项目(2012AA12A208). （2012AA12A208）
