A System for Query Based Analysis and Visualization
Allen R. Sanderson, Brad Joseph Whitlock, Oliver Rübel, Hank Childs, Gunther H. Weber, Prabhat, Mr, Kenseng Wu · eScholarship (California Digital Library) · 2012
Today scientists are producing large volumes of data that they wish to explore and visualize. In this paper we describe a system that combines range-based queries with fast lookup to allow a scientist to quickly and efficiently ask "what if?" questions. Unique to our system is the ability to perform "cumulative queries" that work on both an intra- and inter-time step basis. The results of such queries are visualized as frequency histograms and are the input for secondary queries, the results of which are then visualized.