329
Views
32
CrossRef citations to date
0
Altmetric
Methods, Models, and GIS

Order from Noise: Toward a Social Theory of Geographic Information

&
Pages 508-523 | Received 01 Jan 2005, Accepted 01 Nov 2005, Published online: 29 Feb 2008
 

Abstract

In the so-called Information Age, it is surprising that the concept of information is imprecisely defined and almost taken for granted. Historic and recent geographic information science (GIScience) literature relies on two conflicting metaphors, often espoused by the same author in adjacent paragraphs. The metaphor of invariance, derived from telecommunications engineering, defines information as a thing to be transported without loss through a conduit. Another metaphor, originating in the utopian movements of the 19th century, locates information within a hierarchy of refinement—a stopping place on the path to convert mere data into higher forms of knowledge and perhaps to wisdom. Both metaphors rely on long-forgotten debates outside geography and preclude us from seeing that there are important social and ethical concerns in the relationship between geographic information technologies and society. We examine the conflicts between competing metaphors and propose a social theory of geographic information.

Acknowledgments

We thank Geoff Bowker, Francis Harvey, Dalia Varanka, and Paul Schroeder for discussing the ideas in this article and for offering valuable comments during the writing. The illustrations were prepared with amazing care and dispatch by Betsy Boynton at the U.S. Geological Survey. The article was much improved by the responses of six anonymous reviewers, for which we are grateful.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 312.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.