Authors : Ales Komarek, Jakub Pavlik and Vladimir Sobeslav
Abstract: Sets of numerical values changing over time are one of the most common forms of recorded data. Time-varying phenomena are essential to many areas of human activity and there is often a need to simultaneously display or compare a large number of time series data. Visualizations that improve the speed and accuracy with which humans can read and compare time-varying data are of great practical benefit. Effective presentation of multiple time series is one of the basic problems in visualization research: increasing the amount of data with which human operators can effectively work. This study surveys visualization techniques for time-series data with their major pattern and quantitative qualities compared. All covered visualizations are implemented in ‘Visualization Laboratory’ project and use common format to handle time-series data.
Ales Komarek, Jakub Pavlik and Vladimir Sobeslav, 2019. Time-Based Change Visualization Techniques Survey. Journal of Engineering and Applied Sciences, 14: 10538-10543.