Viewing abstract data as maps

Emden R. Gansner, Yifan Hu, Stephen G Kobourov

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Abstract

From telecommunications and abstractions of the Internet to interconnections of medical papers to on-line social networks, technology has spawned an explosion of data in the form of large attributed graphs and networks. Visualization often serves as an essential first step in understanding such data, when little is known. Unfortunately, visualizing large graphs presents its own set of problems, both technically in terms of clutter and cognitively in terms of unfamiliarity with the graph idiom. In this chapter, we consider viewing such data in the form of geographic maps. This provides a view of the data that naturally allows for reduction of clutter and for presentation in a familiar idiom. We describe some techniques for creating such maps, and consider some of the related technical problems. We also present and discuss various applications of this method to real data.

Original languageEnglish (US)
Title of host publicationHandbook of Human Centric Visualization
PublisherSpringer New York
Pages63-89
Number of pages27
ISBN (Electronic)9781461474852
ISBN (Print)9781461474845
DOIs
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Viewing abstract data as maps'. Together they form a unique fingerprint.

  • Cite this

    Gansner, E. R., Hu, Y., & Kobourov, S. G. (2014). Viewing abstract data as maps. In Handbook of Human Centric Visualization (pp. 63-89). Springer New York. https://doi.org/10.1007/978-1-4614-7485-2_3