This special issue includes articles that address how computational methods can be integrated into interactive visualization systems from a variety of perspectives.
Integrating statistics with visualizations, the articles by Chan et al. and by Martens demonstrate how interactivity allows a human operator to explore and utilize automated statistical methods more effectively.
Using a similar approach, Riveiro examines the use of anomaly detection methods alongside visualizations to aid the analysis of real-time maritime traffic data.
Finally, Chen et al. present a method to capture sequences of analysis steps into a model to preserve the provenance of a visual data analysis task.
Together, these four articles represent how computational methods can be augmented by interactive visualizations of data to better assist analysts in exploring and analyzing large and complex data.