Implementation of oceanographic information system in Korea using GIS for visual analytics

Title
Implementation of oceanographic information system in Korea using GIS for visual analytics
Author(s)
김진아; 박광순
KIOST Author(s)
Kim, Jinah(김진아)
Publication Year
2015-07-21
Abstract
Korea operational oceanographic system (KOOS) has been developed since 2009 and provided continuously a variety of observed and numerically simulated meteorological and oceanographic data. These data are essential to understand and predict the sea and applicable to fisheries, safe navigation, leisure activity, coastal development, and ocean-related problems such as marine accidents, marine pollution (ex. red tide), oil spill accidents, air crashed, shipwreck, and storm surge or tsunami inundation. To explore, analyze and extract information and knowledge among the raw data for coastal management and decision making, web-based oceanographic information system is implemented using ArcGIS techniques. The variables which are observed real-timely and predicted for 72-hours ahead about the sea states are sea surface wind, sea surface pressure, water elevation, surge, tides, currents, wave, sea temperature and salinity. Acquired data has several properties of diverse, spatio-temporal, heterogeneous and in large amounts. Primarily to explore those data, data acquisition and data pre-processing are conducted and it has accumulated to geodatabase and visualized to base map by applying appropriate thematic cartographical maps such as choropleth map, proportional symbol techniques, isarithemic map, dot distribution map, dasymetric map and so on according to attributes of data type such as point, line, area, and raster. Furtherthe sea and applicable to fisheries, safe navigation, leisure activity, coastal development, and ocean-related problems such as marine accidents, marine pollution (ex. red tide), oil spill accidents, air crashed, shipwreck, and storm surge or tsunami inundation. To explore, analyze and extract information and knowledge among the raw data for coastal management and decision making, web-based oceanographic information system is implemented using ArcGIS techniques. The variables which are observed real-timely and predicted for 72-hours ahead about the sea states are sea surface wind, sea surface pressure, water elevation, surge, tides, currents, wave, sea temperature and salinity. Acquired data has several properties of diverse, spatio-temporal, heterogeneous and in large amounts. Primarily to explore those data, data acquisition and data pre-processing are conducted and it has accumulated to geodatabase and visualized to base map by applying appropriate thematic cartographical maps such as choropleth map, proportional symbol techniques, isarithemic map, dot distribution map, dasymetric map and so on according to attributes of data type such as point, line, area, and raster. Further
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25357
Bibliographic Citation
ESRI User Conference, pp.1 - 17, 2015
Publisher
ESRI
Type
Conference
Language
English
Publisher
ESRI
Related Researcher
Research Interests

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

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