How Long to Read Statistical Methods for Spatial Data Analysis

How Long Does it Take to Read Statistical Methods for Spatial Data Analysis?

It takes the average reader 7 hours and 31 minutes to read Statistical Methods for Spatial Data Analysis by Oliver Schabenberger

Assuming a reading speed of 250 words per minute. Learn more

Description

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.

How long is Statistical Methods for Spatial Data Analysis?

Statistical Methods for Spatial Data Analysis by Oliver Schabenberger is 444 pages long, and a total of 112,776 words.

This makes it 150% the length of the average book. It also has 138% more words than the average book.

How Long Does it Take to Read Statistical Methods for Spatial Data Analysis Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 16 minutes to read Statistical Methods for Spatial Data Analysis aloud.

What Reading Level is Statistical Methods for Spatial Data Analysis?

Statistical Methods for Spatial Data Analysis is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Statistical Methods for Spatial Data Analysis?

Statistical Methods for Spatial Data Analysis by Oliver Schabenberger is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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