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 …

Publisher Summary This chapter provides an overview of graph drawing methods and
discusses possible future applications of this area to geovisualization. A great deal of …

Networks are critical to modern society, and a thorough understanding of how they behave
is crucial to their efficient operation. Fortunately, data on networks is plentiful; by visualizing …

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 …

A fundamental aspect of information visualization involves the display of relationships
among objects. Much of this information can be represented by networks with nodes …

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 …

Network information on geographical entities such as cities is frequently analysed
numerically, but seldom visualised in an appealing form. Reasons for this include the …

The graph drawing and information visualization communities have developed many
sophisticated techniques for visualizing network data, often involving complicated algorithms …

Visualizing network data, from tree structures to arbitrarily connected graphs, is a difficult
problem in information visualization. A large part of the problem is that in network data, users …

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 …