£77.85

Chapman and Hall/CRC Statistical Methods for Spatial Data Analysis

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Description

Master the complexities of spatial statistics with this comprehensive text from Chapman and Hall/CRC. This book addresses the specific needs of researchers and students by providing a balanced look at both theoretical foundations and practical applications in the field. To truly understand spatial data, one must master tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. This text brings these diverse elements together, focusing on the unique characteristics of spatial data. It moves beyond standard statistical methods to present specialized analytical tools designed specifically for spatial analysis. Whether you are studying stochastic processes or looking to apply linear model theory to geographic datasets, this book provides the necessary framework. It is an essential resource for anyone needing to develop a specialized mindset for analyzing data with spatial dependencies.

Key Features

Explores theoretical foundations and practical applications to provide a balanced approach to spatial statistics.

Integrates essential tools from applied and mathematical statistics to support complex data analysis.

Covers critical topics including linear model theory, regression, and time series analysis.

Focuses on the unique characteristics of spatial data to help develop specialized analytical skills.

Includes instruction on stochastic processes to enhance your understanding of spatial data patterns.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 December 2004
Listed Since
05 February 2007

Barcode

No barcode data available

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