Terabytes of tobler: Evaluating the first law in a massive, domain-neutral representation of world knowledge

Brent Hecht*, Emily Moxley

*Corresponding author for this work

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

33 Scopus citations

Abstract

The First Law of Geography states, "everything is related to everything else, but near things are more related than distant things." Despite the fact that it is to a large degree what makes "spatial special," the law has never been empirically evaluated on a large, domain-neutral representation of world knowledge. We address the gap in the literature about this critical idea by statistically examining the multitude of entities and relations between entities present across 22 different language editions of Wikipedia. We find that, at least according to the myriad authors of Wikipedia, the First Law is true to an overwhelming extent regardless of language-defined cultural domain.

Original languageEnglish (US)
Title of host publicationSpatial Information Theory - 9th International Conference, COSIT 2009, Proceedings
Pages88-105
Number of pages18
DOIs
StatePublished - Nov 2 2009
Event9th International Conference on Spatial Information Theory, COSIT 2009 - Aber Wrac'h, France
Duration: Sep 21 2009Sep 25 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5756 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Spatial Information Theory, COSIT 2009
CountryFrance
CityAber Wrac'h
Period9/21/099/25/09

Keywords

  • First Law of Geography
  • Spatial Autocorrelation
  • Spatial Dependence
  • Tobler's Law
  • Wikipedia

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Hecht, B., & Moxley, E. (2009). Terabytes of tobler: Evaluating the first law in a massive, domain-neutral representation of world knowledge. In Spatial Information Theory - 9th International Conference, COSIT 2009, Proceedings (pp. 88-105). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5756 LNCS). https://doi.org/10.1007/978-3-642-03832-7_6