{
"item_title" : "Spatial Autocorrelation and Spatial Filtering",
"item_author" : [" Daniel A. Griffith "],
"item_description" : "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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Spatial Autocorrelation and Spatial Filtering : Gaining Understanding Through Theory and Scientific Visualization
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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