Statistical methods for spatial data analysis /
by Olive Schabenberger
- Boca Raton: Chapman and Hall/CRC, 2005.
- xvii, 488 p.
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.