Paper Info
Title
Spatial and temporal processes visualization for marine environmental data using particle system.
Abstract
Many observation methods have been employed to monitor the changes in the ecological environment. Marine environment monitoring data have characteristics of complex diversity, high spatial-resolution, high time-frequency, and multi-level free-surface depth. In this study, we constructed a three-dimensional temporal-spatial visualization model to express the spatial-temporal variations using particle system. For the temporal dimension, we visualized the dynamic real-time changes by changing properties such as particle color, displacement, and size by calculating the difference between the data at adjacent points in time in different frames. To achieve high quality dynamic display, we introduced the CUDA (Compute Unified Device Architecture) parallel computing model to realize large-scale particle change visualization. This model reduced the CPU load and significantly improved the frame rate. Moreover, this model provides virtual simulation and user interaction rendering, which can dynamically change the environment data type, rendering mode, drawing profiles, and other functions. Finally, we integrated the model as a system component into China's offshore environmental data monitoring and management platform.
Year
DOI
Venue
2019
10.1016/j.cageo.2019.02.012
Computers & Geosciences
Keywords
Field
DocType
Spatial and temporal data visualization,Marine ecological environment,CUDA,NetCDF(Network common data format),GLSL(OpenGL shading language),Multi-type
Data mining,Central processing unit,Particle system,CUDA,Visualization,Computer science,Real-time computing,Data type,Frame rate,Environmental data,Rendering (computer graphics)
Journal
Volume
ISSN
Citations 
127
0098-3004
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Feng Zhang1127.66
Ruichen Mao200.34
Zhenhong Du33116.98
Renyi Liu400.34