In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Data visualization is the presentation of data in a pictorial or graphical format, and a data
visualization tool is the software that generates this presentation. Data visualization provides …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

In the last 20 years, extreme weather-related events like floods, landslides, droughts, and
wildfires have caused the death of 1.23 million people and a loss of 2.97 trillion dollars …

Visual query of spatiotemporal data is becoming an increasingly important function in visual
analytics applications. Various works have been presented for querying large …

Vision-based deep learning (DL) methods have made great progress in learning
autonomous driving models from large-scale crowd-sourced video datasets. They are …

The newest developments in the fields of data analysis, visualization, and predictive
analytics are organized and discussed in this study. The utilization of data to acquire …

Interactive visualization and exploration of large spatiotemporal data sets is difficult without
carefully-designed data preprocessing and management tools. We propose a novel …

Static scatterplots often suffer from the overdraw problem on big datasets where object
overlap causes undesirable visual clutter. The use of zooming in scatterplots can help …

Data exploration and visual analytics systems are of great importance in Open Science
scenarios, where less tech-savvy researchers wish to access and visually explore big raw …