Web-based Geovisualization System of Oceanographic Information using Dynamic particles and HTML5 SCIE SCOPUS

Cited 1 time in WEB OF SCIENCE Cited 2 time in Scopus
Title
Web-based Geovisualization System of Oceanographic Information using Dynamic particles and HTML5
Author(s)
Kim, Jinah
KIOST Author(s)
Kim, Jin Ah(김진아)
Publication Year
2018-05
Abstract
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 intemet 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.
ISSN
0749-0208
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/943
DOI
10.2112/SI85-299.1
Bibliographic Citation
JOURNAL OF COASTAL RESEARCH, pp.1491 - 1495, 2018
Publisher
COASTAL EDUCATION & RESEARCH FOUNDATION
Keywords
Geovisualization; Oceanographic Information System; Spatial and Temporal Variability; Dynamic Particles; HTML5
Type
Article
Language
English
Document Type
Article; Proceedings Paper
Publisher
COASTAL EDUCATION & RESEARCH FOUNDATION
Related Researcher
Research Interests

AI/Machine Learning,Climate Change,Marine Disaster,인공지능/기계학습,기후변화,해양기상재해

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse