Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

A rapidly growing body of empirical research has recently started to emerge highlighting the
connotative and/or semiotic meanings that consumers typically associate with specific …

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 …

In response to COVID-19, a vast number of visualizations have been created to
communicate information to the public. Information exposure in a public health crisis can …

Dirty data and deceptive design practices can undermine, invert, or invalidate the purported
messages of charts and graphs. These failures can arise silently: a conclusion derived from …

Immersive Analytics (IA) uses immersive virtual and augmented reality displays for data
visualization and visual analytics. Designers rely on studies of how accurately people …

Scatterplots commonly use color to encode categorical data. However, as datasets increase
in size and complexity, the efficacy of these channels may vary. Designers lack insight into …

Visualizations often encode numeric data using sequential and diverging color ramps.
Effective ramps use colors that are sufficiently discriminable, align well with the data, and are …

People have expectations about how colors map to concepts in visualizations, and they are
better at interpreting visualizations that match their expectations. Traditionally, studies on …

To interpret information visualizations, observers must determine how visual features map
onto concepts. First and foremost, this ability depends on perceptual discriminability; …