Establish a comprehensive mathematical and theoretical foundation for the analysis, modeling, and interpretation of spatial data across diverse scientific disciplines.
Systematic synthesis of statistical theory covering continuous spatial processes (geostatistics), discrete spatial systems (lattice data), and point process models.
Formulates mathematical principles for variogram estimation, optimal spatial prediction (kriging), and spatial exploratory diagnostics across 900 pages.
Provides unified mathematical structures connecting diverse spatial statistical models across geostatistical data, regular and irregular lattices, and point patterns.
Establishes rigorous computational and inferential frameworks to evaluate spatial autocorrelation and estimate geographic distributions.
Abstract
Statistics for Spatial Data. By N. Cressie. ISBN 0 471 84336 9. Wiley, Chichester, 1991. 900 pp. £71.00.