Spatial Autocorrelation and Spatial Filtering

Gaining Understanding Through Theory and Scientific Visualization

By:

Daniel A. Griffith

Format:

Paperback / softback

Series:

Advances in Spatial Science

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Description

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.

Release date NZ

December 5th, 2010

Author

Daniel A. Griffith

Audience

Professional & Vocational

Edition

Softcover reprint of hardcover 1st ed. 2003

Illustrations

XIV, 250 p.

Pages

250

Series

Advances in Spatial Science

Dimensions

156x234x14

ISBN-13

9783642056666

Product ID

8961797

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