Advanced Spatial Statistics: Special Topics in the Exploration of Quantitative Spatial Data Series

✍ Scribed by Daniel A. Griffith (auth.)

• Publisher: Springer Netherlands
• Year: 1988
• Tongue: English
• Leaves: 285
• Series: Advanced Studies in Theoretical and Applied Econometrics 12
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XIV
Introduction to Spatial Statistics and Data Handling....Pages 1-23
Developing a Theory of Spatial Statistics....Pages 24-40
Areal Unit Configuration and Locational Information....Pages 41-81
Reformulating Classical Linear Statistical Models....Pages 82-107
Spatial Autocorrelation and Spectral Analysis....Pages 108-126
The Missing Data Problem for a Two-Dimensional Surface....Pages 127-174
Correcting for Edge Effects in Spatial Statistical Analyses....Pages 175-199
Multivariate Models of Spatial Dependence....Pages 200-224
Simulation Experimentation in Spatial Analysis....Pages 225-260
Summary and Conclusions....Pages 261-269
Back Matter....Pages 271-274

✦ Subjects

Econometrics