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Spatial Autocorrelation and Spatial Filtering|Daniel A. Griffith

Spatial Autocorrelation and Spatial Filtering : Gaining Understanding Through Theory and Scientific Visualization

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Overview

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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Details

  • ISBN-13: 9783540009320
  • ISBN-10: 3540009329
  • Publisher: Springer
  • Publish Date: July 2003
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.22 pounds
  • Page Count: 250

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