Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization / Edition 1

Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization / Edition 1

by Daniel A. Griffith
     
 

ISBN-10: 3540009329

ISBN-13: 9783540009320

Pub. Date: 08/13/2003

Publisher: Springer Berlin Heidelberg

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

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Overview

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.

Product Details

ISBN-13:
9783540009320
Publisher:
Springer Berlin Heidelberg
Publication date:
08/13/2003
Series:
Advances in Spatial Science Series
Edition description:
2003
Pages:
250
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Preface.- Introduction.- Salient Properties of Geographic Connectivity Underlying Spatial Auorrelation.- Sampling Distributions Associated with Spatial Auorrelation.- Spatial Filtering.- Spatial Filtering Applications: Selected Interval/ratio Datasets.- Spatial Filtering Applications: Selected Counts Datasets.- Spatial Filtering Applications: Selected Percentage Datasets.- Concluding Comments.- List of Symbols.- List of Tables.- List of Figures.- References.- Subject Index.- Author Index.- Places Index.

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