Over the decades, agri-food security has become one of the most critical concerns in the
world. Sustainable agri-food production technologies have been reliable in mitigating …

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 …

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

Understanding and accounting for uncertainty is critical to effectively reasoning about
visualized data. However, evaluating the impact of an uncertainty visualization is complex …

Uncertainty is intrinsic in most technical systems, including Cyber-Physical Systems (CPS).
Therefore, handling uncertainty in a graceful manner during the real operation of CPS is …

Animated representations of outcomes drawn from distributions (hypothetical outcome plots,
or HOPs) are used in the media and other public venues to communicate uncertainty. HOPs …

Ensembles of numerical simulations are used in a variety of applications, such as
meteorology or computational solid mechanics, in order to quantify the uncertainty or …

This paper presents the state of the art in the area of topology‐based visualization. It
describes the process and results of an extensive annotation for generating a definition and …

Constructing distributed representations for words through neural language models and
using the resulting vector spaces for analysis has become a crucial component of natural …

With data comes uncertainty, which is a widespread and frequent phenomenon in data
science and analysis. The amount of information available to us is growing exponentially …