Art, Geography/GIScience, and Mathematics

A Surprising Interface

Datos Bibliográficos

ID5145653
AutoresDaniel A Griffith (0000-0001-5125-6450, The University of Texas at Dallas, autor de correspondencia)
Año2023
Volumen113
Número1
Páginas1-12
Fecha de publicación2023-01-02
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaAnnals of the American Association of Geographers (JOURNAL)
Identificadores de la revistaISSN: 2469-4452 • E-ISSN: 2469-4460
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/24694452.2022.2086101
OpenAlexW4289711656
IdiomaEN
Citas recibidas2
Referencias citadas32

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