多模态时空数据多层次可视化任务模型

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。

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

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.