Theory of Spatial Statistics: A Concise Introduction

Research output: Book/ReportBookAcademic

Abstract

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.
Original languageEnglish
Place of PublicationBoca Raton
PublisherChapman and Hall/CRC
Number of pages168
ISBN (Print)9780367146399
Publication statusPublished - 2019

Publication series

NameTexts in Statistical Science
PublisherChapman & Hall/CRC

Fingerprint

Spatial Statistics
Exercise
Disease Mapping
Statistics
Forestry
Point Process
Statistical Inference
Random Field
Soil
Mining
Cover
Experiment
Model

Cite this

van Lieshout, M. N. M. (2019). Theory of Spatial Statistics: A Concise Introduction. (Texts in Statistical Science). Boca Raton: Chapman and Hall/CRC.
van Lieshout, Maria Nicolette Margaretha. / Theory of Spatial Statistics : A Concise Introduction. Boca Raton : Chapman and Hall/CRC, 2019. 168 p. (Texts in Statistical Science).
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van Lieshout, MNM 2019, Theory of Spatial Statistics: A Concise Introduction. Texts in Statistical Science, Chapman and Hall/CRC, Boca Raton.

Theory of Spatial Statistics : A Concise Introduction. / van Lieshout, Maria Nicolette Margaretha.

Boca Raton : Chapman and Hall/CRC, 2019. 168 p. (Texts in Statistical Science).

Research output: Book/ReportBookAcademic

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AB - 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.

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van Lieshout MNM. Theory of Spatial Statistics: A Concise Introduction. Boca Raton: Chapman and Hall/CRC, 2019. 168 p. (Texts in Statistical Science).