多模态时空数据多层次可视化任务模型

doi:10.11947/j.AGCS.2018.20180104

测绘学报 ›› 2018, Vol. 47 ›› Issue (8): 1098-1104.doi: 10.11947/j.AGCS.2018.20180104

多模态时空数据多层次可视化任务模型

刘铭崴¹, 朱庆¹, 朱军¹, 冯斌¹, 李赟¹, 张骏骁¹, 付萧¹, 张鹏程², 杨卫军², 宁新稳^1,3, 徐婉妍⁴

1. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
2. 广州市城市规划勘测设计研究院, 广东广州 510060;
3. 中国铁路设计集团有限公司, 天津 300251;
4. 荔浦县国土资源局, 广西桂林 546600

收稿日期:2018-01-12 修回日期:2018-04-04 出版日期:2018-08-20 发布日期:2018-08-22
通讯作者: 朱庆 E-mail:zhuq66@263.net
作者简介:刘铭崴(1991-),男,博士生,研究方向为虚拟地理环境和时空大数据可视化。E-mail:liumingwei@my.swjtu.edu.cn
基金资助:
国家自然科学基金（41471320）；智慧广州时空信息云平台建设项目（GZIT2016-A5-147）

The Multi-level Visualization Task Model for Multi-modal Spatio-temporal Data

LIU Mingwei¹, ZHU Qing¹, ZHU Jun¹, FENG Bin¹, LI Yun¹, ZHANG Junxiao¹, FU Xiao¹, ZHANG Pengcheng², YANG Weijun², NING Xinwen^1,3, XU Wanyan⁴

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
2. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, China;
3. China Railway Design Corporation, Tianjin 300251, China;
4. The Bureau of Land and Resources of Lipu, Guilin 546600, China

Received:2018-01-12 Revised:2018-04-04 Online:2018-08-20 Published:2018-08-22
Supported by:
The National Natural Science Foundation of China (No. 41471320);The Smart Guangzhou Spatio-temporal Information Cloud Platform Construction (No. GZIT2016-A5-147)

摘要/Abstract

摘要： 针对现有时空数据可视化方法主要面向单一的低层次展示性可视化任务，难以满足多模态时空数据多层次多样化可视化任务高并发的难题，从展示、分析和探索3个层次构建了面向多模态时空数据自适应可视化的多层次可视化任务模型。重点剖析了不同任务的时空信息需求及其可视化表达驱动力，刻画了任务需求与存算绘资源之间的依赖关系，设计了任务感知的多模态时空数据自适应可视化引擎。以微观精细化管理与宏观综合决策协同的智能设施管理为例进行了试验分析，证明该模型能够有效满足多层次可视分析应用需求，为数字城市和智慧社会等重大工程建设提供了有力的技术方法支撑。

关键词: 多模态时空数据, 多层次可视化, 任务模型, 任务感知, 自适应

Abstract: The existing spatio-temporal data visualization methods are mainly targeted at low-level view-only visualization tasks,which is difficult to meet the high concurrency and multi-level visualization tasks of multi-modal spatio-temporal data.To address this challenge,it is presented that the multi-level visualization task model for multi-modal spatiotemporal data,which categorized the visualization task as view-only visualization task,analytical visualization task and explorative visualization task.The main features of this model are:①it described the main driving forces and spatio-temporal information needed in different level of tasks;②it described the requirements of task and its relationship between storage,computing and rendering.Based on the model,task-aware and adaptive spatiotemporal data visualization engine is designed.Finally taking the refinement management and decision-making applications in smart city as an example,the model is proved to be effectively meet the needs of multi-level visualization and analysis applications and could lay a solid foundation for the complex applications in smart city.

Key words: multi-modal spatio-temporal data, visualization task, task model, task-aware, adaptive visualization

中图分类号:

P208

刘铭崴, 朱庆, 朱军, 冯斌, 李赟, 张骏骁, 付萧, 张鹏程, 杨卫军, 宁新稳, 徐婉妍. 多模态时空数据多层次可视化任务模型[J]. 测绘学报, 2018, 47(8): 1098-1104.

LIU Mingwei, ZHU Qing, ZHU Jun, FENG Bin, LI Yun, ZHANG Junxiao, FU Xiao, ZHANG Pengcheng, YANG Weijun, NING Xinwen, XU Wanyan. The Multi-level Visualization Task Model for Multi-modal Spatio-temporal Data[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(8): 1098-1104.

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多模态时空数据多层次可视化任务模型

The Multi-level Visualization Task Model for Multi-modal Spatio-temporal Data

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