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 auorrelation - which characterizes these tendencies - is further demystified.