Art, Geography/GIScience, and Mathematics

A Surprising Interface

Bibliographic Data

ID5145653
AuthorsDaniel A Griffith (0000-0001-5125-6450, The University of Texas at Dallas, corresponding author)
Year2023
Volume113
Issue1
Pages1-12
Publication date2023-01-02
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)
DOI10.1080/24694452.2022.2086101
OpenAlexW4289711656
LanguageEN
Citations received2
References cited32

Do any of the known synergies existing between either geography and art or mathematics and art bridge all three of these disciplines? The geo-humanities and the math-humanities literatures describe only these two individual synergies. A new quantitative geography methodology exploits a sophisticated mathematical concept to analyze remotely sensed satellite images, which, when extended to artistic paintings, indeed spans all three disciplines. The organizing concept is spatial autocorrelation, or the tendency for dis/similar colors and their intensities to cluster in paintings. This article summarizes demonstrations of this contention, with specific applications to da Vinci, Monet, and Rembrandt paintings. Its principal contribution is that, for high geographic resolution digital versions of paintings, a replication constructed with judiciously selected and combined spatial autocorrelation components remarkably closely corresponds with a digital copy of its original source, further generalizing certain recent findings reported in the literature

Art · Cartography · Geography · Painting · Remote sensing · Spatial analysis · Visual arts · Computer Science · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Remote-Sensing Image Classification