Abstract :
The Saemangeum Coast, located on the west side of the Korean peninsula, is undergoing a 30-year land reclamation project involving approximately 40 kilohectares. Because this project will drastically change the marine environment, monitoring and analyzing the water quality and marine life forms are necessary. However, the observation data are accumulating past the terabyte level, and the simulation data based on that data are also growing. Moreover, the gathered data are heterogeneous, and combining the datasets is often critical for gaining a better understanding of the environmental situation and for making predictions and decisions. A new visual-analytics tool for analyzing this situation fuses geographic-information-system data with ocean environmental data. It has three main components: data collection, geoprocessing, and data visualization. Researchers have used it to monitor and analyze changes in water quality, zooplankton distribution, and seabed topography.
Keywords :
computerised monitoring; data visualisation; decision making; environmental science computing; geographic information systems; oceanography; prediction theory; seafloor phenomena; water quality; Korean peninsula; Saemangeum coast; data collection; data visualization; environmental situation; geographic-information-system data; geoprocessing; heterogeneous data; land reclamation project; marine environmental change visualization; marine life forms; observation data; ocean environmental data; seabed topography; simulation data; terabyte level; visual-analytics tool; water quality; zooplankton distribution; Environmental factors; Geographic information systems; Information systems; Marine pollution; Oceanography; Visual analystics; Environmental factors; GIS; Geographic information systems; Information systems; Marine pollution; Oceanography; Saemangeum; Visual analystics; computer graphics; geographic information systems; marine environment; oceanographic extreme data; visual analytics;
