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Web 3D Data Visualization of Spatio Temporal Data using Data Driven Document (D3js)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 111 - Number 4 |
| Year of Publication: 2015 |
| Authors: Alfred David, Clarence J M Tauro |
10.5120/19529-1169
|
Alfred David, Clarence J M Tauro . Web 3D Data Visualization of Spatio Temporal Data using Data Driven Document (D3js). International Journal of Computer Applications. 111, 4 ( February 2015), 42-46. DOI=10.5120/19529-1169
Abstract
Data visualization is an important tool to analyze complex Spatio Temporal data. The web based data visualization tools are mostly 2D. A versatile tool would be one which will combine 2D and 3D data visualization techniques, as this would give an extra dimension, analytical usability and also be very easy to implement with a simple API. The current technologies for such visualization are based on SVG, OpenGL, WebGL and other proprietary 3D libraries. These are useful but are difficult and cumbersome to use and the focus shifts from the data in question to be studied to methods and hacks of how the above listed tools can be manipulated to visualize the specific result patterns from the data. This paper provides a direction of how to use a web based JavaScript library, which encompasses some of the technologies used above and provides an abstract interface to be able to use this effectively to visualize large complex sets of spatio temporal data. This will render a more intuitive, user focused, tactile navigation and selection for specific analysis of large set of Spatio-Temporal data is illustrated in the chloropleth example using D3. js on a spatio temporal database of the Edison electric company data of users and usage for New York City and its suburbs.
References
- Dongmei Yua,b Rentao Huang b GuanYan c, "Research on Statisyics Data Spatio-Temporal Reasoning Model of Geographical Thematic Element based on Data Mining," Qing Dao University, 16 Qingda Road, Qing Dao, China, 266071,b Wu han University, 129 Luoyu Road, Wu han, China, 430079. c Science Press, Bei Jing, China, 100717.
- Jianghui Ying, Denis Gracanin, and Chang-Tien Lu, "Web Visualization of Geo-Spatial Data using SVG and VRML/X3D," Proceedings of the Third International Conference on Image and Graphics (ICIG'04).
- Hattori, S. , "Spatio-Temporal Web Sensors by Social NetworkAnalysis," 2012 IEEE/ACM International Conference on Digital Object Identifier: 10. 1109/ASONAM. 2012. 172.
- Hui Yang ; Parthasarathy, S. , "Mining Spatial and Spatio-Temporal Patterns in Scientific Data," Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on Digital Object Identifier: 10. 1109/ICDEW. 2006. 92
- Martin, S. C. ; Whitcomb, L. L. ; Arsenault, R. ; Plumlee, M. ; Ware, C. , "A System for Real-Time Spatio-Temporal 3-D Data Visualization in Underwater Robotic Exploration," Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on Digital Object Identifier: 10. 1109/ROBOT. 2005. 1570345.
- Wang Yanbing, "3D GIS Spatial Modeling for City Surface and Subsurface Integration," Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on Digital Object Identifier: 10. 1109/IGARSS. 2006. 391.
- S. Shekhar, C. Lu, P. Zhang, and R. Liu, "Data Mining for Selective Visualization of Large Spatial Datasets",Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence, 2002.
- J. Boye, SVG Brings Fast Vector Graphics to Web,http://tech. irt. org/articles/js176/#2.
- A. E. Walsh and M. Bourges-Sévenier, Core Web3D, Prentice Hall PTR, Upper Saddle River, NJ, USA, 2001.
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