| 面向地理信息大数据的时空事件关系可视化分析框架 |
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| 引用本文： | 李金磊,慈谕瑶,郑坤,郭绍龙,燕继红,陈宇萍,吴艳民,李仕漪.面向地理信息大数据的时空事件关系可视化分析框架[J].测绘通报,2019,0(12):101-104. |
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| 作者姓名： | 李金磊 慈谕瑶 郑坤 郭绍龙 燕继红 陈宇萍 吴艳民 李仕漪 |
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| 作者单位： | 中国石油化工股份有限公司勘探分公司,四川 成都,610041;中国地质大学(武汉)地理与信息工程学院,湖北 武汉,430074;北京创时空科技发展有限公司,北京,100083 |
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| 基金项目： | 国家科技重大专项（2017ZX05036-001）；广东社会发展科技协同创新体系建设项目（2018B020207012）；中国地质大学（武汉）中央高校基本科研业务费专项资金（CUGYCJH18-01） |
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| 摘 要： | 不同类型的地理信息大数据蕴含了丰富的时空关系，反映个体或者群体时空事件之间的变化模式，在资源、环境、交通等领域的智慧应用中起到关键性作用。然而，地理信息大数据拥有的多尺度和多语义特性，在挖掘地理信息大数据的时空关系时会存在许多困难。如何有效地构建多尺度多语义时空关系，并直观地表达这些时空关系是一个重大挑战。本文设计了一种时空事件关系可视化分析框架，通过定义事件间时空关系的描述，设计了一种多视图协同的可视化分析方法，结合时空关系的可视化协同交互，实现地理信息大数据时空事件可视分析。基于时空轨迹数据，通过试验说明该方法可以探寻时空事件及背景间的时空关系，实现时空事件的交互可视分析。
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| 关 键 词： | 地理信息大数据 可视分析 时空关系 时空事件 轨迹数据 |
| 收稿时间： | 2019-10-08 |
| 修稿时间： | 2019-10-30 |
Visualized analysis framework on big geo-information data oriented spatio-temporal events |
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| LI Jinlei,CI Yuyao,ZHENG Kun,GUO Shaolong,YAN Jihong,CHEN Yuping,WU Yanmin,LI Shiyi.Visualized analysis framework on big geo-information data oriented spatio-temporal events[J].Bulletin of Surveying and Mapping,2019,0(12):101-104. |
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| Authors: | LI Jinlei CI Yuyao ZHENG Kun GUO Shaolong YAN Jihong CHEN Yuping WU Yanmin LI Shiyi |
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| Institution: | 1. Exploration Branch of China Petrochemical Co., Ltd., Chengdu 610041, China;2. China University of Geosciences(Wuhan) School of Geosciences and Information Engineering, Wuhan 430074, China;3. Beijing Create Space-Time Science and Technology Limited Company, Beijing 100083, China |
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| Abstract: | Rich spatio-temporal relations are hidden in types of big geo-data, which represent the evolution of individual or collective spatio-temporal events and play a decisive role in intelligent applications such as natural resources, environments, transportation and other fields. However, there are many difficulties in digging the spatio-temporal relationship, due to the large number of attributes embedded in multi-scale and multi-semantic big geo-data. It is a technical challenge to effectively construct multi-scale and multi semantic spatio-temporal and as well as to visualize the relations. In this paper, we design an analysis framework to visualize the spatio-temporal relations among spatio-temporal events. we design a multi-view collaboration to visualize the spatio-temporal relations among events by describing a general definition for spatio-temporal relations in spatio-temporal events. A visual interface is presented for users to interactively select or filter spatial and temporal extents to guide the knowledge discovery process. Followed by experimental application on spatio-temporal trajectory data shows that this method can explore the spatio-temporal relationship between spatio-temporal events and context, and realize the interactive visual analysis of spatio-temporal events. |
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| Keywords: | big geo-information data visual analysis spatio-temporal relations spatio-temporal events trajectory data |
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