Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …

Develo** effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

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 spatial time series generated by city sensors allow us to observe urban phenomena like
environmental pollution and traffic congestion at an unprecedented scale. However …

Over the past decade, there has been a significant increase in the development of visual
analytics systems dedicated to addressing urban issues. These systems distill intricate …

In this paper, we present a visual analytics approach that provides decision makers with a
proactive and predictive environment in order to assist them in making effective resource …

Many spatiotemporal events can be viewed as contagions. These events implicitly
propagate across space and time by following cascading patterns, expanding their …

In geo-related fields such as urban informatics, atmospheric science, and geography, large-
scale spatial time (ST) series (ie, geo-referred time series) are collected for monitoring and …

New highly-multiplexed imaging technologies have enabled the study of tissues in
unprecedented detail. These methods are increasingly being applied to understand how …

Tax evasion is a serious economic problem for many countries, as it can undermine the
government's tax system and lead to an unfair business competition environment. Recent …