Objective To create and evaluate a public health informatics tool, Florence, for
communicating information to the public. Materials and Methods This user-centered design …

Exploratory data analysis tools designed to measure global and local spatial autocorrelation
(eg Moran's I statistic) have become standard in modern GIS software. However, there has …

Purpose Visually explore the rates of and relationships between overall physical and mental
health, sleep disturbances, and depression rates in a single sample of caregivers of persons …

The visual modeling method enables flexible interactions with rich graphical depictions of
data and supports the exploration of the complexities of epidemiological analysis. However …

The growth of the field of visual analytics reflects a sustained, long-term commitment to
applying convergent research principles to computer science research. Charting the future …

Data-driven storytelling helps to communicate facts, easing comprehension and decision
making, particularly in crisis settings such as the current COVID-19 pandemic. Several …

Role-based collaboration (RBC) is an adaptive computational methodology that uses roles
as underlying mechanisms to facilitate and analyze system behavior for entities that …

When considering a holistic approach to infrastructure asset management, insights can be
drawn from the visualization and interpretation of the multivariate data sets that capture the …

The COVID-19 pandemic is a worldwide crisis with impacts that are both devastating and
inequitable as effects often fall hardest on communities that are already suffering from …

Comparative analysis plays a crucial role in real-world data analysis, especially when
dealing with multivariate data. Effcient comparison of hierarchies and node attributes …