WaterVis: GeoVisual Analytics for Exploring Hydrological Data

Abstract

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.