Multiscale visualizations are typically used to analyze multiscale processes and data in
various application domains, such as the visual exploration of hierarchical genome …

Observing the relationship between two or more variables over space and time is essential
in many domains. For instance, looking, for different countries, at the evolution of both the life …

Geographical areal data usually presents hierarchical structures, and its characteristics vary
at different scales. At the higher scales, the visualization of geographical areal data is …

When you zoom in or out of current multi-scale cartographic applications, it is common to
feel lost and disoriented for a few seconds because dimensions and map symbols have …

Contour plots are widely used in geospatial data visualization as they provide natural
interpretation of information across spatial scales. To compare a geospatial attribute against …

TopoText is a context-preserving technique for visualizing text data for multi-scale spatial
aggregates to gain insight into spatial phenomena. Conventional exploration requires users …

Choropleths are a common and useful way of depicting area-coupled data on a geo-spatial
map. One advantage they provide is combining area-based data accurately with geo-space …

This article describes the research agenda for the Visual Analytics and Data Exploration
Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab …

Graphs are an invaluable modelling tool in many domains, but visualising large graphs in
their entirety can be difficult. Hierarchical graph visualisation–recursively clustering a …

Spatial clustering can reduce visual clutter on maps and facilitate pattern recognition.
However, interactive map exploration needs the spatial clustering to be a dynamic …