When we think of “maps,” we may instantly think of geographical representations of paths, streets, suburbs, cities, regions or countries. These maps help us fi nd a fast and effi cient way from origin A to destination B. In ancient times, maps were drawn on cloth, leather or other kinds of fabric; today, both paper-based and digital maps can be found everywhere. The standard cartographic type of map provides information about physical locations and directions. However, with advances in science, technology and new media, other types of maps have evolved that are not limited to geographical data. These maps represent abstract relationships between perceived reality and temporal or conceptual information in areas such as mathematics, genetics, engineering or architecture. Paper-based maps are produced using information and communication technologies, and dynamic mapping systems have been designed to take advantage of the processing and visualizing capabilities of new media applications. In the context of the knowledge-based economy, many economists and public policy analysts want to capture, visualize and understand the composition, characteristics and dynamics of services sector businesses, conglomerations and markets in both macro- and microeconomic dimensions (Cunningham, Hearn, Cox, Ninan, & Keane, 2003). The interrelationships and blurring boundaries between suppliers, producers, distributors and consumers, as well as cooperating and competing enterprises, have traditionally been illustrated by mapping them onto horizontal and vertical value chains and by notions of economies of scale and economies of scope. Ownership, power and shareholder dependencies have been visualized by mapping certain actors in the market to nodes, boxes, squares and lines in fl ow charts, network graphs and statistical diagrams. As this discussion suggests, there is much more to maps than their material and cartographic forms.