Selecting appropriate visual encodings is critical to designing effective visualization
recommendation systems, yet few findings from graphical perception are typically applied …

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 …

Choice of color is critical to creating effective charts with an engaging, enjoyable, and
informative reading experience. However, designing a good color palette for a chart is a …

While satellite-based remote sensing techniques are often used for studying and visualizing
the heat distribution in cities, they are limited in terms of spatial resolution, view bias, and …

In visual communication, people glean insights about patterns of data by observing visual
representations of datasets. Colormap data visualizations (“colormaps”) show patterns in …

Software maps provide a general-purpose interactive user interface and information display
in software analytics. This paper classifies software maps as a containment-based treemap …

Visual communication through information visualizations (eg, graphs, charts, maps,
diagrams, and signage) is central to how people share knowledge. In information …

Some 15 years ago, Visualization Viewpoints published an influential article titled Rainbow
Color Map (Still) Considered Harmful (Borland and Taylor, 2007). The paper argued that the …

Probabilistic seismic hazard estimates are a key ingredient of earthquake risk mitigation
strategies and are often communicated through seismic hazard maps. Though the literature …

To create effective data visualizations, it helps to represent data using visual features in
intuitive ways. When visualization designs match observer expectations, visualizations are …