The quality of geospatial context

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

The location of an event or feature on the Earth's surface can be used to discover information about the location's surrroundings, and to gain insights into the conditions and processes that may affect or even cause the presence of the event or feature. Such reasoning lies at the heart of critical spatial thinking, and is increasingly implemented in tools such as geographic information systems and online Web mashups. But the quality of contextual information relies on accurate positions and descriptions. Over the past two decades substantial progress has been made on the theory and methods of geospatial uncertainty, but hard problems remain in several areas, including uncertainty visualization and propagation. Web 2.0 mechanisms are fostering the rapid growth of user-generated geospatial content, but raising issues of associated quality.

Original languageEnglish (US)
Title of host publicationQuality of Context - First International Workshop, QuaCon 2009, Revised Papers
Pages15-24
Number of pages10
DOIs
StatePublished - Dec 1 2009
Externally publishedYes
Event1st International Workshop on Quality of Context, QuaCon 2009 - Stuttgart, Germany
Duration: Jun 25 2009Jun 26 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5786 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Quality of Context, QuaCon 2009
CountryGermany
CityStuttgart
Period6/25/096/26/09

Keywords

  • Context
  • Error
  • Geospatial data
  • Uncertainty
  • Web 2.0

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Goodchild, M. F. (2009). The quality of geospatial context. In Quality of Context - First International Workshop, QuaCon 2009, Revised Papers (pp. 15-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5786 LNCS). https://doi.org/10.1007/978-3-642-04559-2_2