The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …

Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

Dimensionality reduction methods, also known as projections, are frequently used in
multidimensional data exploration in machine learning, data science, and information …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

Cross‐virtuality analytics (XVA) is a novel field of research within immersive analytics and
visual analytics. A broad range of heterogeneous devices across the reality–virtuality …

Segmenting and quantifying gliomas from MRI is an important task for diagnosis, planning
intervention, and for tracking tumor changes over time. However, this task is complicated by …

Over the last decade, ensemble visualization has witnessed a significant development due
to the wide availability of ensemble data, and the increasing visualization needs from a …

The problem of formulating solutions immediately and comparing them rapidly for billboard
placements has plagued advertising planners for a long time, owing to the lack of efficient …

In smart manufacturing, people are facing an increasing amount of industrial data derived
from various digitalized and connected sources in all kinds of formats. Analyzing and …

This article surveys the history and current state of the art of visualization in meteorology,
focusing on visualization techniques and tools used for meteorological data analysis. We …