Spatial Autocorrelation and Spatial Filtering
Gaining Understanding Through Theory and Scientific Visualization
Format:Hardback
Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published:10th Jul '03
Currently unavailable, and unfortunately no date known when it will be back
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.
From the reviews:
"Daniel Griffith here makes an effort to expand the methodological toolbox of spatial analysis by presenting, analyzing, and meticulously demonstrating with numerous examples, the applications of spatial filtering … . In sum, many readers will find the book an appealing source of geographic and statistical material, richly supplemented by the use of scientific visualization … . Conceivably, spatial researchers will appreciate its invigorating introduction to mathematical-geographical properties of spatial datasets, and the statisticians will enjoy its many witty and challenging examples." (Oleg Smirnov, Journal of Regional Science, Vol. 44 (3), 2004)
ISBN: 9783540009320
Dimensions: unknown
Weight: 1220g
250 pages
2003 ed.