Theory of Spatial Statistics: A Concise Introduction

By M N M Van Lieshout

Book Overview

Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix.

Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers.

Features* Presents the mathematical foundations of spatial statistics.
* Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology.
* Gives pointers to the literature to facilitate further study.
* Provides example code in R to encourage the student to experiment.
* Offers exercises and their solutions to test and deepen understanding.

The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.

• Format: Paperback
• Language: English
• ISBN: 0367146398
• ISBN13: 9780367146399
• Release Date: March 2019
• Publisher: CRC Press
• Length: 182 Pages
• Weight: 0.59 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"