Abstract
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.
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