@MISC{Noik_combiningdynamic, author = {Emanuel G. Noik}, title = {Combining Dynamic Queries and Mapping with Database View Definition}, year = {} }
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Abstract
Information (or data) visualization refers to the graphical presentation of information with the aim of providing the viewer with a qualitative understanding of the information contents. Two common graphical methods for depicting multidimensional data are scatterplots (that show relationships among data dimensions) and node-and-link diagrams or graphs (that show relationships among individual data points). One strategy to aid understanding of multidimensional data is to map data dimensions or attributes (e.g., temperature, population, location) to graphic properties (e.g., colour, size, position). Dynamic mapping (DM) is an interactive technique that permits mappings to be adjusted dynamically. The dynamic query (DQ) is a related interactive technique that applies the principles of direct manipulation to the searching of multidimensional data: visual presentation of query’s components (e.g., sliders, radio buttons); visual presentation of results; rapid, incremental, and reversible control of queries; selection by pointing, not typing; and immediate and continuous feedback. User experiments that compared DQ to more traditional form-fill-in or textual query approaches, have shown that DQ interfaces are superior for many searching tasks. DQ and DM are complementary techniques and have been successfully integrated in a number of recent visualization systems. However, both techniques share a common limitation: their effectiveness is inseparably tied to the availability of suitable multidimensional data (to query and map). A standard way to generate additional