Visualization of Data at Multiple Scales
Implementation and evaluation of novel multi-scale data visualization
The visualization of quantitative data is needed in various application areas such as finance, biology, transportation, meteorology, education or data-driven journalism. Often the quantitative data are of various scales with many small and many very large values. Showing the data in one plot causes problems with value readability. The charts are dominated by large values. Small values become very small on the screen and their values cannot be well discriminated. The project supervisors have developed a novel idea for multi-scale visualization that can cope with varying data sizes. The aim of this project is to implement and evaluate this novel multi-scale visualization of quantitative data. The project results should be published in a journal article or in proceedings of a high ranked visualization conference.
Two IREP student(s) can work on this project.
Pre-requisites or requirements for the project
Experience in the field of information visualization
Experience in conducting user studies
Knowledge/experience in statistical evaluation of user studies
Literature and preparation
S. K. Card, J. D. Mackinlay, and B. Shneiderman. Readings in information visualization: using vision to think. Morgan Kaufmann, 1999.
T. Munzner. Visualization Analysis and Design. CRC Press, 2014.
C. Ware. Information visualization: perception for design. Elsevier, 2012.
until the end of August 2018