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 demystified.
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