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Geographic Representation in GIS and Art

Common Threads as Exemplified in Paintings by Seurat, Signac, Mondrian, and Diebenkorn

Dados Bibliográficos

ID13100741
AutoresJeremy Mennis (0000-0001-6319-8622, Temple University, autor correspondente)
Ano2018
Volume4
Fascículo1
Páginas178-195
Data de publicação2018-01-02
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoGeoHumanities (JOURNAL)
Identificadores do periódicoISSN: 2373-5678 • E-ISSN: 2373-566X
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/2373566x.2017.1415156
OpenAlexW2791641349
IdiomaEN
Citações recebidas4
Referências citadas38

This article explores the relationship between geographic representation in geographic information systems (GIS) and in art, as illustrated by the vector and raster spatial data models used in GIS and their affinity with representational painting techniques employed by the painters Georges Seurat (1859–1891), Paul Signac (1863–1935), Piet Mondrian (1872–1944), and Richard Diebenkorn (1922–1993). The location-based raster data model is discussed in the context of the pointillism painting technique espoused by the French neo-Impressionist painters Seurat and Signac, whereas the object-based vector data model is related to the geometric abstraction techniques employed by the Dutch abstract painter Mondrian and the American abstract painter Diebenkorn. Commonalities between the spatial data models used in GIS and the representational techniques employed by these painters are explored within the context of both the cognitive basis of geographic representation and the representational objectives embodied by the artistic and scientific movements within which such representational approaches were developed

Abstract art · Abstraction · Archaeology · Art · Cartography · Computer graphics (images · Context (archaeology · Epistemology · Geographic information system · Geography · Mondrian · Painting · Raster graphics · Representation (politics · Visual arts · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Historical Geography and Cartography

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Obras citantes distintas4
Citações por ano0,67
Intervalo de citações2020 - 2026 (7)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 4
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