### Abstract

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 language | English |
---|---|

Place of Publication | Boca Raton |

Publisher | Chapman and Hall/CRC |

Number of pages | 168 |

ISBN (Print) | 9780367146399 |

Publication status | Published - 2019 |

### Publication series

Name | Texts in Statistical Science |
---|---|

Publisher | Chapman & Hall/CRC |

### Fingerprint

### Cite this

*Theory of Spatial Statistics: A Concise Introduction*. (Texts in Statistical Science). Boca Raton: Chapman and Hall/CRC.

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*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.

Research output: Book/Report › Book › Academic

TY - BOOK

T1 - Theory of Spatial Statistics

T2 - A Concise Introduction

AU - van Lieshout, Maria Nicolette Margaretha

N1 - The author is not allowed to submit a pdf-file of the book.

PY - 2019

Y1 - 2019

N2 - 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.

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.

UR - https://www.crcpress.com/Theory-of-Spatial-Statistics-A-Concise-Introduction/Lieshout/p/book/9780367146399

M3 - Book

SN - 9780367146399

T3 - Texts in Statistical Science

BT - Theory of Spatial Statistics

PB - Chapman and Hall/CRC

CY - Boca Raton

ER -