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Advanced Spatial Statistics

Name: Advanced Spatial Statistics
Brand: Springer
SKU: 9789401077392
Price: 230.01 EUR
Availability: InStock

Special Topics in the Exploration of Quantitative Spatial Data Series

Автор: Daniel A. Griffith

Език:

Корици: С меки корици

Издател: Springer

Наличност: Външен склад в ограничено количество

Изпращаме след 13-18 дни

230.01 € 449.86 лв

In recent years there has been a growing interest in and concern for the development of a sound spat...

Информация за книгата

Автор

Daniel A. Griffith

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

274

EAN

9789401077392

ISBN

9401077398

Enbook ID

02185200

Издател

Springer

Теглоt

450

Размери

155 x 235 x 16

Пълно описание

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.