Abstract | ||
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A virtual reality GIS analysis platform based on spatial query is proposed in this paper. The proposed platform serves 3D digital city and supports integrated VRGIS functions including 3D spatial analysis functions and 3D visualization functions for spatial process. The 3D analysis and visualization of the concerned city massive information are conducted on the platform. The amount of information that can be visualized through this platform is overwhelming, and the GIS-based navigational scheme allows great flexibility in accessing different available data sources. A multi-level mixed three-dimensional space index is built for the virtual scene. Multi-task parallel scheduling and pre-scheduling algorithms are designed to support the distribution and query of spatial data. Experiment result indicates that the designed query algorithm improves the performance of the proposed system. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.neucom.2016.06.099 | Neurocomputing |
Keywords | Field | DocType |
WebVRGIS,WebVR,Big Data,3D globe,Spatial query | Spatial analysis,Data mining,Virtual reality,Visualization,Computer science,Parallel scheduling,Enterprise GIS,Spatial query,Big data | Journal |
Volume | Issue | ISSN |
274 | C | 0925-2312 |
Citations | PageRank | References |
0 | 0.34 | 39 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weixi Wang | 1 | 79 | 4.55 |
Zhihan Lu | 2 | 1515 | 136.60 |
Xiaoming Li | 3 | 517 | 60.22 |
Weiping Xu | 4 | 27 | 3.48 |
Baoyun Zhang | 5 | 70 | 5.41 |
Yuanyuan Zhu | 6 | 0 | 1.35 |
Yan Yan | 7 | 784 | 38.14 |