With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

The explosion of map use in the past few decades as part of everyday activities, accelerated
through the digital production and dissemination of maps and the availability of low-cost …

When people work together to analyze a data set, they need to organize their findings,
hypotheses, and evidence, share that information with their collaborators, and coordinate …

Many of the problems being addressed by Immersive Analytics require groups of people to
solve. This chapter introduces the concept of Collaborative Immersive Analytics (CIA) and …

During asynchronous collaborative analysis, handoff of partial findings is challenging
because externalizations produced by analysts may not adequately communicate their …

In this work, we propose a visual analytic system for analyzing events of Weibo, a Chinese-
version microblog service. We build a system which consists of two interfaces: a web-based …

Visual Analytics is “the science of analytical reasoning facilitated by visual interactive
interfaces”[70]. The goal of this field is to develop tools and methodologies for approaching …

Annotations are an essential part of data analysis and communication in visualizations,
which focus a readers attention on critical visual elements (eg an arrow that emphasizes a …

User-authored annotations of data can support analysts in the activity of hypothesis
generation and sensemaking, where it is not only critical to document key observations, but …

Coordination is critical in distributed collaborative analysis of multidimensional data.
Collaborating analysts need to understand what each person has done and what avenues …