Spatial Autocorrelation and Spatial Filtering - Gaining Understanding Through Theory and Scientific Visualization (Hardcover, 2003 ed.)

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.  

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Advances in Spatial Science
Release date:	July 2003
First published:	2003
Authors:	Daniel A. Griffith
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	250
Edition:	2003 ed.
ISBN-13:	978-3-540-00932-0
Categories:	Books > Business & Economics > Economics > General Books > Science & Mathematics > Mathematics > Probability & statistics Books > Earth & environment > Geography > General
LSN:	3-540-00932-9
Barcode:	9783540009320

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