Spatial Autocorrelation and Spatial Filtering

Gaining Understanding Through Theory and Scientific Visualization

By: Daniel A. Griffith

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Hardcover | 10 July 2003

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Hardcover
268 Pages

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23.5 x 15.88 x 1.91

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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.

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"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)

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You Can Find This Book In

Non-Fiction Mathematics Calculus & Mathematical Analysis Functional Analysis & Transforms Probability & Statistics Earth Sciences, Geography, Environment, Planning Geography Economics Econometrics Economic Statistics

Preface
Introduction
Salient Properties of Geographic Connectivity Underlying Spatial Autocorrelation
Sampling Distributions Associated with Spatial Autocorrelation
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
Table of Contents provided by Publisher. All Rights Reserved.

Spatial Autocorrelation and Spatial Filtering

Gaining Understanding Through Theory and Scientific Visualization

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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