This comprehensive and well-established cartography textbook covers the theory and the
practical applications of map design and the appropriate use of map elements. It explains …

Information seeking is crucial for people's self-care and wellbeing in times of public crises.
Extensive research has investigated empirical understandings as well as technical solutions …

Given aggregated mobile device data, the goal is to understand the impact of COVID-19
policy interventions on mobility. This problem is vital due to important societal use cases …

In response to the COVID-19 pandemic, a number of spatially-explicit models have been
developed to better explain the pathways of the disease, to predict the trajectory of the …

Infectious diseases are transmitted between human hosts when in close contact over space
and time. Recently, an unprecedented amount of spatial and spatiotemporal data have been …

Spatio-temporal evolution analysis has been a critical topic of air pollution research.
However, there are still several difficulties caused by the large scale and dimensionality of …

Sensemaking using automatically extracted information from text is a challenging problem.
In this paper, we address a specific type of information extraction, namely extracting …

Visualizations such as bar charts, scatter plots, and objects on geographical maps often
convey critical information, including exact and relative numeric values, using shapes. The …

Custom animated visualizations of large, complex datasets are helpful across many
domains, but they are hard to develop. Much of the difficulty arises from maintaining …

This paper introduces an interactive visualization interface with a machine learning
consensus analysis that enables the researchers to explore the impact of atmospheric and …