WaterVis: GeoVisual Analytics for Exploring Hydrological Data
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Visualizing and analyzing large amounts of environmental and hydrological data on maps is difficult. Interaction and manipulation of data is crucial for decision making during natural disasters like floods. In this paper we present WaterVis: a geovisual Big Data analytics application to help analysts explore large amounts of hydrological data to create early flood warnings, and make strategic decisions in critical situations. The implications of WaterVis can help inform the design of future Big Data analytics applications.
- 3.Dykes J, Mountain D. Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications. Comput Stat Data Anal. 2003;43(4):581–603. Data visualization. Available: http://www.sciencedirect.com/science/article/pii/S0167947302002943.
- 6.Acreman M. Principles of water management for people and the environment. 1998.Google Scholar
- 11.Vondrak I, Martinovic J, Kozusznik J, Stolfa S, Kozubek T, Kubicek P, Vondrak V, Unucka J. A description of a highly modular system for the emergent flood prediction. In: Computer Information Systems and Industrial Management Applications (CISIM). New York: IEEE; 2008. p. 219–24.Google Scholar
- 14.Ware C. Information visualization: perception for design. San Francisco: Morgan Kaufmann Publishers Inc.; 2004.Google Scholar