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1 May 2018 Web-based Geovisualization System of Oceanographic Information using Dynamic particles and HTML5
Jinah Kim
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Kim, J., 2018. Web-based Geovisualization System of Oceanographic Information Using Dynamic Particles and HTML5. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 1491–1495. Coconut Creek (Florida), ISSN 0749-0208.

A web-based geovisualization system of oceanographic information using dynamic particles and HTML5 has been established to address the limitations of the existing Web-GIS based oceanographic information system. The limitations include systematic scalability, slow service speed, a non-standard internet web environment, poor user accessibility and interactivity, and spatial and temporal variability visualization. Importantly, spatial observation data through remote sensing and 3D numerical modeling data are oceanographic data having spatial and temporal variability. Such data are heterogeneous, large capacity, and multidimensional and are based on geographic information. In order to understand intuitively and analyze effectively, dynamic particles were applied to visualize the spatial and temporal variability. This paper introduces the oceanographic information geovisualization system, in which the information inquiry and analysis functions are implemented using open libraries such as HTML5, WebGL, Canvas, D3, and Leaflet map, which are next generation Web platform standards for multimedia service and map with location service.

©Coastal Education and Research Foundation, Inc. 2018
Jinah Kim "Web-based Geovisualization System of Oceanographic Information using Dynamic particles and HTML5," Journal of Coastal Research 85(sp1), 1491-1495, (1 May 2018).
Received: 30 November 2017; Accepted: 10 February 2018; Published: 1 May 2018
Dynamic Particles
Oceanographic Information System
Spatial and temporal variability
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