SPATIO-TEMPORAL STORY MAPPING ANIMATION BASED ON STRUCTURED CAUSAL RELATIONSHIPS OF HISTORICAL EVENT

来源 :“地理空间数据库与位置服务”国际学术会议 | 被引量 : 0次 | 上传用户:miclleg
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  In this paper,we proposed a user interface that displays visual animations on geographic maps and timelines for depicting historical stories by representing causal relationships among events for time series.We have been developing an experimental software system for the spatial-temporal visualization of historical stories for tablet computers.Our proposed system makes people effectively learn historical stories using visual animations based on hierarchical structures of different scale timelines and maps.
其他文献
Land use spatial allocation is a space optimization to improve the land use efficiency by distributing different land use types under the limits of regional land use structure according to specific pl
The application of thermal infrared remote sensing in one hand and the problems of dry lands and desertification in other hand has recently been as research topics,but combination of thermal infrared
Chinese cities are experiencing rapid urban expansion and being transformed into more dispersed urban form which necessitate the spatially explicit analysis and modeling of urban patterns.In our resea
会议
会议
The continuous growth of remotely sensed data raises the need for efficient ways of accessing data archives.The classical model of accessing remote sensing (satellite) archives via distribution of lar
When tourists visiting multiple tourist scenic spots,the travel line is usually the most effective road network according to the actual tour process,and maybe the travel line is different from planned
Over the past few years Personal Navigation Systems have become an established tool for route planning,but they are mainly designed for outdoor environments.Indoor navigation is still a challenging re
The present work aims at designing and implementing a spatial data infrastructure for storing and sharing ecological data through geospatial web services.As case study,we concentrated on limnological