This paper surveys visualization and interaction techniques for geospatial networks from a
total of 95 papers. Geospatial networks are graphs where nodes and links can be …

Many types of information may be represented as graphs or networks with the nodes
corresponding to entities and the links to relationships between entities. Often there is …

Generally, a graph is an abstract data type used to represent relations among a given set of
data entities. Graphs are used in numerous applications within the field of information …

Networks are abstract and ubiquitous data structures, defined as a set of data points and
relationships between them. Network visualization provides meaningful representations of …

Spatial interactions (or flows), such as population migration and disease spread, naturally
form a weighted location-to-location network (graph). Such geographically embedded …

Information visualization is essential in making sense of large datasets. Often, high-
dimensional data are visualized as a collection of points in 2D space through dimensionality …

Geovisualization is both a process for leveraging the data resources to meet scientific and
societal needs and a research field that develops visual methods and tools to support a wide …

For displaying a dense graph, an adjacency matrix is superior than a node-link diagram
because it is more compact and free of visual clutter. A node-link diagram, however, is far …

Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Showing flows of people and resources between multiple geographic locations is a
challenging visualisation problem. We conducted two quantitative user studies to evaluate …