Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring
technology and data analytics to diagnose the classification, location and significance of …

Knowledge of human perception has long been incorporated into visualizations to enhance
their quality and effectiveness. The last decade, in particular, has shown an increase in …

Visualizing outliers in massive datasets requires statistical pre-processing in order to reduce
the scale of the problem to a size amenable to rendering systems like D3, Plotly or analytic …

We introduce Parallel Histogram Plot (PHP), a technique that overcomes the innate
limitations of parallel coordinates plot (PCP) by attaching stacked-bar histograms with …

We propose a visualization method to understand the effect of multidimensional projection
on local subspaces, using implicit function differentiation. Here, we understand the local …

The analysis of ocean and atmospheric datasets offers a unique set of challenges to
scientists working in different application areas. These challenges include dealing with …

We address the problem of visualizing multivariate correlations in parallel coordinates. We
focus on multivariate correlation in the form of linear relationships between multiple …

Multidimensional data visualization is one of the primary foundations supporting data
analysis used for understanding the hidden relationships between items and dimensions of …

As the size of dataset increases, it has become a difficult task to explore structures of interest
from crowded parallel coordinates due to visual clutter. Numerous methods have been …

Humans encounter a vast array of sensory stimuli in their everyday lives. However, many
visualization techniques primarily utilize visual feedback, which may disregard certain …