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spatial autocorrelation and spatial filtering: gaining understanding through theory and scientific visualization
Daniel A. Griffith
(Autor)
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Springer
· Tapa Blanda
spatial autocorrelation and spatial filtering: gaining understanding through theory and scientific visualization - Griffith, Daniel A.
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Reseña del libro "spatial autocorrelation and spatial filtering: gaining understanding through theory and scientific visualization"
Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further de-mystified.
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