Noel A.C. Cressie is Professor of Statistics at Iowa State University. He has previously served as Lecturer
and Senior Lecturer of Mathematics at the Flinders University of South Australia. A fellow of the American Statistical
Association and the Institute of Mathematical Statistics, Dr. Cressie is coauthor of Goodness-of-Fit Statistics
for Discrete Multivariate Data. He received his PhD in statistics from Princeton University.
Review
�This book should be bought. It is a landmark in statistical literature, a comprehensive discourse on a topic
previously mostly in the domain of nonstatisticians.�
--Technometrics, Vol. 36 No. 4, Nov. 1994
Submitted by Publisher, January, 2002
Summary
Uses a cohesive approach to analyze data through statistical models. Features comprehensive coverage of point
patterns, geostatistical and lattice data. All data sets for various spatial statistical analyses are given along
with some background to the problems being studied. Asterisked sections deal with random processes, point procedures
and random sets while those that are "daggered'' concentrate on applications. Packed with graphs and illustrations.
This revised edition includes an expanded reference list.
Table of Contents
Statistics for Spatial Data.
GEOSTATISTICAL DATA.
Geostatistics.
Spatial Prediction and Kriging.
Applications of Geostatistics.
Special Topics in Statistics for Spatial Data.
LATTICE DATA.
Spatial Models on Lattices.
Inference for Lattice Models.
SPATIAL PATTERNS.
Spatial Point Patterns.
Modeling Objects.
References.
