Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization

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Advances in Spatial Science

This series of books is dedicated to reporting on recent advances in spatial science. It contains scientific studies focusing on spatial phenomena, utilising theoretical frameworks, analytical methods, and empirical procedures specifically designed for spatial analysis. The series brings together innovative spatial research utilising concepts, perspectives, and methods with a relevance to both basic science and policy making. The aim is to present advances in spatial science to an informed readership in universities, research organisations, and policy-making institutions throughout the world.

The type of material considered for publication in the series includes:

- Monographs of theoretical and applied research in spatial science;

- State-of-the-art volumes in areas of basic research;

- Reports of innovative theories and methods in spatial science;

- Tightly edited reports form specially organised research seminars.

Manuscripts must be prepared in accordance with the guidelines for authors and editors that may be obtained from Springer-Verlag. Manuscripts considered for the series will be reviewed by independent experts to ensure their originality, scientific level, and international policy relevance.

Author(s): Professor Dr. Daniel A. Griffith (auth.)
Series: Advances in Spatial Science
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2003

Language: English
Pages: 250
Tags: Geography (general); Geographical Information Systems/Cartography; Statistics for Business/Economics/Mathematical Finance/Insurance; Environmental Monitoring/Analysis; Econometrics; Regional/Spatial Science

Front Matter....Pages I-XIV
Introduction....Pages 1-32
Salient Properties of Geographic Connectivity Underlying Spatial Autocorrelation....Pages 33-64
Sampling Distributions Associated with Spatial Autocorrelation....Pages 65-90
Spatial Filtering....Pages 91-130
Spatial Filtering Applications: Selected Interval/Ratio Datasets....Pages 131-152
Spatial Filtering Applications: Selected Counts Datasets....Pages 153-175
Spatial Filtering Applications: Selected Percentage Datasets....Pages 177-192
Concluding Comments....Pages 193-209
Back Matter....Pages 211-250