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Advanced Spatial Statistics

Special Topics in the Exploration of Quantitative Spatial Data Series

  • Book
  • © 1988

Overview

Authors:
  1. Daniel A. Griffith

    1. University of New York, Buffalo, USA

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Part of the book series: Advanced Studies in Theoretical and Applied Econometrics (ASTA, volume 12)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Introduction to Spatial Statistics and Data Handling

    • Daniel A. Griffith
    Pages 1-23

  3. Developing a Theory of Spatial Statistics

    • Daniel A. Griffith
    Pages 24-40

  4. Areal Unit Configuration and Locational Information

    • Daniel A. Griffith
    Pages 41-81

  5. Reformulating Classical Linear Statistical Models

    • Daniel A. Griffith
    Pages 82-107

  6. Spatial Autocorrelation and Spectral Analysis

    • Daniel A. Griffith
    Pages 108-126

  7. The Missing Data Problem for a Two-Dimensional Surface

    • Daniel A. Griffith
    Pages 127-174

  8. Correcting for Edge Effects in Spatial Statistical Analyses

    • Daniel A. Griffith
    Pages 175-199

  9. Multivariate Models of Spatial Dependence

    • Daniel A. Griffith
    Pages 200-224

  10. Simulation Experimentation in Spatial Analysis

    • Daniel A. Griffith
    Pages 225-260

  11. Summary and Conclusions

    • Daniel A. Griffith
    Pages 261-269

  12. Back Matter

    Pages 271-274
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Keywords

About this book

In recent years there has been a growing interest in and concern for the development of a sound spatial statistical body of theory. This work has been undertaken by geographers, statisticians, regional scientists, econometricians, and others (e. g. , sociologists). It has led to the publication of a number of books, including Cliff and Ord's Spatial Processes (1981), Bartlett's The Statistical Analysis of Spatial Pattern (1975), Ripley's Spatial Statistics (1981), Paelinck and Klaassen's Spatial Economet~ics (1979), Ahuja and Schachter's Pattern Models (1983), and Upton and Fingleton's Spatial Data Analysis by Example (1985). The first of these books presents a useful introduction to the topic of spatial autocorrelation, focusing on autocorrelation indices and their sampling distributions. The second of these books is quite brief, but nevertheless furnishes an eloquent introduction to the rela­ tionship between spatial autoregressive and two-dimensional spectral models. Ripley's book virtually ignores autoregressive and trend surface modelling, and focuses almost solely on point pattern analysis. Paelinck and Klaassen's book closely follows an econometric textbook format, and as a result overlooks much of the important material necessary for successful spatial data analy­ sis. It almost exclusively addresses distance and gravity models, with some treatment of autoregressive modelling. Pattern Models supplements Cliff and Ord's book, which in combination provide a good introduction to spatial data analysis. Its basic limitation is a preoccupation with the geometry of planar patterns, and hence is very narrow in scope.

Authors and Affiliations

  • University of New York, Buffalo, USA

    Daniel A. Griffith

Bibliographic Information

  • Book Title: Advanced Spatial Statistics

  • Book Subtitle: Special Topics in the Exploration of Quantitative Spatial Data Series

  • Authors: Daniel A. Griffith

  • Series Title: Advanced Studies in Theoretical and Applied Econometrics

  • DOI: https://doi.org/10.1007/978-94-009-2758-2

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers, Dordrecht 1988

  • Hardcover ISBN: 978-90-247-3627-0Published: 30 April 1988

  • Softcover ISBN: 978-94-010-7739-2Published: 20 September 2011

  • eBook ISBN: 978-94-009-2758-2Published: 06 December 2012

  • Series ISSN: 1570-5811

  • Series E-ISSN: 2214-7977

  • Edition Number: 1

  • Number of Pages: XIV, 274

  • Topics: Econometrics

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