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Spatial Autocorrelation and Spatial Filtering

Gaining Understanding Through Theory and Scientific Visualization

Springer Berlin,
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Exploiting the old maxim that "a picture is worth a thousand words," scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. It introduces a nonverbal model into subdisciplines that hitherto employed mostly or only mathematical or verbal-conceptual models. The focus of this monograph 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, affording spatial data analyses that are better understood, presented, and used. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies and is one of the key features of georeferenced data, or data tagged to the earth's surface - is further de-mystified. This self-correlation arises from relative locations in geographic space.


Titel: Spatial Autocorrelation and Spatial Filtering
Autoren/Herausgeber: Daniel A. Griffith
Aus der Reihe: Advances in Spatial Science
Ausgabe: 2003

ISBN/EAN: 9783540009320

Seitenzahl: 250
Format: 23,5 x 15,5 cm
Produktform: Hardcover/Gebunden
Gewicht: 1,220 g
Sprache: Englisch - Newsletter
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