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Graph Theory and Geography

From Collaboration to Autocorrelation

Bibliographic Data

ID3775678
AuthorsDaniel A Griffith (0000-0001-5125-6450, The University of Texas at Dallas, corresponding author), Sandra Lach Arlinghau (0000-0001-5500-8825, University of Michigan), William Charles Arlinghaus (0000-0002-2085-0948, Lawrence Technological University)
Year2024
Volume114
Issue8
Pages1639-1652
Publication date2024-09-13
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnals of the American Association of Geographers (JOURNAL)
Journal identifiersISSN: 2469-4452 • E-ISSN: 2469-4460
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/24694452.2023.2277811
OpenAlexW4390659533
LanguageEN
References cited43

Theoretical, methodological, and empirical contributions regarding networks within the context of graph theory constitute a valuable interface between geography and mathematics. Seeking to assess mathematical network geography’s past, present, and future, this article addresses such research and literature by discussing new knowledge produced from networked geographic phenomena—especially Erdös collaboration graphs depicting mentorships or authorships among scholars; outlining a brief history of networks in geographical analysis; and couching spatial autocorrelation within its geographic network links. General commentary transitions into examples of Erdös graphs and their implications for collaborations. The narrative also speaks to networked space challenges of established geographic thought (e.g., Tobler’s first law of geography), with special reference to contributions by Boots and his coauthors. This article concludes with a treatment of graph theory, networks, and spatial autocorrelation

Critical geography · Data science · Economic geography · Geography · Graph · Historical geography · Human geography · Narrative · Regional science · Sociology · Spatial analysis · Computer Science · Geographic Information Systems Studies · Land Use and Ecosystem Services · Spatial and Panel Data Analysis · Theoretical Computer Science

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