Geocomputation with R is for people who want to analyze, visualize and model geographic
data with open source software. It is based on R, a statistical programming language that …

We explore the adaptation of 2D small-multiples visualisation on flat screens to 3D
immersive spaces. We use a" shelves" metaphor for layout of small multiples and consider a …

Grid visualizations are widely used in many applications to visually explain a set of data and
their proximity relationships. However, existing layout methods face difficulties when dealing …

Virtual reality has recently been adopted for use within the domain of visual analytics
because it can provide users with an endless workspace within which they can be actively …

We propose a new approach to the visualization design and communication process, literate
visualization, based upon and extending, Donald Knuth's idea of literate programming. It …

The effort for combating the COVID-19 pandemic around the world has resulted in a huge
amount of data, eg, from testing, contact tracing, modelling, treatment, vaccine trials, and …

Visualizing sets of elements and their relations is an important research area in information
visualization. In this paper, we present MosaicSets: a novel approach to create Euler-like …

Tile maps are an important tool in thematic cartography with distinct qualities (and
limitations) that distinguish them from better‐known techniques such as choropleths …

Visualization has evolved into a flourishing research field in recent 30 years. There are
substantial visualization methodologies and applications published every year. Most of …

We investigate variability overweighting, a previously undocumented bias in line graphs,
where estimates of average value are biased toward areas of higher variability in that line …