Non-Fiction Books:

Statistical Methods for Spatial Data Analysis

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Description

Spatial statistics is one of the fastest growing areas in the statistics field and has applications across a wide range of disciplines. This analytical text takes a model-based approach and covers the theory and applications of all three major types of spatial data: geostatistical, lattice, and point pattern. This book is rich in applications incorporating discussions on important recent developments in the field, such as spatial models for nonstationary data, generalized linear model extensions to spatial data and Monte Carlo testing. The authors also incorporate the use of SAS for problem solving and make the relevant code and various data sets available for download from the publisher's website. This is a clearly written reference with the necessary background material from stochastic process theory included. Statisticians, ecologists, geologists, environment statisticians and biostatisticians, plus graduate students in these disciplines will find this an essential read.

Author Biography:

Oliver Schabenberger, Carol A. Gotway
Release date Australia
December 20th, 2004
Audience
  • Tertiary Education (US: College)
Illustrations
31 Tables, black and white; 81 Illustrations, black and white
Pages
506
Dimensions
178x254x32
ISBN-13
9781584883227
Product ID
2306917

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