Statistical methods for spatial data analysis / by Olive Schabenberger

By:

Schabenberger, Olive

Material type: Text

TextLanguage: English Publication details: Chapman and Hall/CRC, 2005. Boca Raton:Description: xvii, 488 pISBN:

9781584883227

Subject(s):

DDC classification:

519.5 SCH-S

Contents:

1.Introduction-- 2.Some theory on random fields -- 3.Mapped point patterns-- 4.Semivariogram and covariance function analysis and estimation-- 5.Spatial prediction and Kriging -- 6.Spatial regression models-- 7.Simulation of random fields -- 8.Non stationary covariance-- 9.Spatio- Temporal processes

Summary: Offers a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. This book delivers a treatment of semivariogram estimation and modeling, spatial analysis in the spectral domain, and spatial regression.

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Item type	Current library	Collection	Call number	Status	Barcode
Text/Reserve Book	Library, SPAB G-1	Non Fiction	519.5 SCH-S (Browse shelf(Opens below))	Available	009101

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1.Introduction--
2.Some theory on random fields --
3.Mapped point patterns--
4.Semivariogram and covariance function analysis and estimation--
5.Spatial prediction and Kriging --
6.Spatial regression models--
7.Simulation of random fields --
8.Non stationary covariance--
9.Spatio- Temporal processes

Offers a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. This book delivers a treatment of semivariogram estimation and modeling, spatial analysis in the spectral domain, and spatial regression.

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