BASICS
Introduction
Point patterns
Statistical methodology for point patterns
About this book
Adrian Baddeley is a professor of computational statistics at Curtin University and a fellow of the Australian Academy of Science. He has been a leading researcher in spatial statistics for 40 years. Ege Rubak is an associate professor in the world-renowned spatial statistics group at Aalborg University. His research focuses on spatial statistics and statistical computing. Rolf Turner is retired and an Honorary Research Fellow at the University of Auckland, where he has taught a graduate course on spatial point processes in the Department of Statistics. He has considerable expertise in statistical computing and has worked as a statistician in the Division of Mathematics and Statistics at CSIRO, the University of New Brunswick, and the Starpath Project at the University of Auckland.
"... A very broad range of topics is covered over 810 pages,
using examples from different fields of science, most notably
astronomy, biology, ecology, geology, and environmental sciences.
In reading the book, one of the most enjoyable features is the
critical attitude encouraged by the authors, who always question
the suitability of specific statistical methods in relation to a
given scientific question. The reader is guided from the first to
the last step of a statistical analysis of SPP data with useful
advice on modeling strategies and illustration of open-source
statistical software. The style is highly accessible to a
nonstatistical audience, with mathematical formalism kept to a
minimum. ... What sets this book apart from others in its field are
the strong link that the authors build between statistical
methodology and scientific problems drawn from multidisciplinary
case studies, the coverage of a wide range of topics, and its
reference to highquality open-source statistical software. For
these reasons, the book is likely to become a classic in SPP data
analysis."
-Emanuele Giorgi, Lancester University, in The American
Statistician, July 2017
"The entire publication offers a wealth of information and will
serve as an excellent manual and guide for the work of the point
process statistician. One of the many strengths of the book is that
it consistently considers point process statistics as a part of
statistics in general and always to refer to general statistical
ideas. The text is very accessible...There are a lot of interesting
examples, which can be reproduced by the reader in R. The reader
will appreciate the frequent discussions of caveats and the
well-selected and well-answered FAQ's (frequently asked questions)
at the end of each chapter...Overall, this publication presents an
excellent introduction to and manual for the spatstat package, for
which the community of spatial statisticians will be very grateful
to the authors. For readers who use this software, it is an
indispensable manual that the reviewer strongly recommends...The
reviewer is sure that it will initiate a big step forward in the
use of statistical methods for point patterns."
-Dietrich Stoyan, TU Bergakademie Freiberg, Biometrical
Journal, January 2017
"In a nutshell, this book covers a large portion of the methods
for the analysis of spatial point patterns and their implementation
in the spatstat package... As spatstat has evolved with help from
its users and the community, a list of frequently asked questions
(FAQ) is included at the end of most chapters. This will help to
clarify some of the contents and guide the user in the data
analysis by pointing at different important points to consider. The
book is also full of tips, clarifications and discussions on how to
conduct the analysis, which clearly will benefit practitioners. It
presents and discusses many applications from different fields, so
that it will be of interest to a wide range of researchers...I
really enjoyed reading this book and it has changed my views on
spatstat. In addition to a package for the analysis of point
patterns, I now regard this package as a toolbox that will allow
the development of further methods and software for the analysis of
point patterns, as the package provides a number of functions to
rely on when developing new methods."
-Virgilio Gomez-Rubio, Universidad de Castilla-La Mancha,
Journal of Statistical Software, December 2016
"Several books on analysing point pattern processes have been
published in recent years; this is by far the largest, at least in
part due to the inclusion of example scripts and output. Its
central tool is the spatstat package in R. Chapters cover spatial
point pattern statistics from first principles through to some of
the more sophisticated techniques. Its audience is scientists
looking to employ and interpret these tools, and while technical
sections are included, they expand on the applied material rather
than being core. This will prove a valuable reference and its
guidance will improve standards in the field."
-Markus Eichhorn, Frontiers of Biogeography, 2016, Volume 8,
Issue 3
"As the authors point out in their preface, the book is not
intended to be an introduction to point process theory for
mathematicians. Rather, they aim to focus on the principles of
statistical inference for spatial data and to help researchers in
application domains with the practicalities of the analysis and the
interpretation of the results. In this, they have succeeded
brilliantly...The book is written in a distinct, at times funny,
always accessible style. General principles of every aspect of
spatial point pattern analysis, from data collection to model
validation, are discussed in great detail with pointers to the
specialized literature for those who wish to gain a deeper
understanding of the technicalities. The principles are illustrated
by means of a wide collection of examples that can be reproduced by
the reader in R. Moreover, a selection of frequently asked
questions from spatstat users is answered at the end of each
chapter...In summary, I warmly recommend the book to anyone who
wishes to analyze point patterns professionally."
-Marie-Colette van Lieshout, reviewed in Biometrics, June
2016
"Baddeley, Rubak, and Turner have written a uniquely
comprehensive account of modern statistical methods for the
analysis of spatial point pattern data, aimed firmly at users and,
crucially, made accessible to users by explicit linkage of the
methods to their own excellent R package, spatstat. Essential
reading for anyone who needs to analyze spatial point pattern data
properly or to teach others how to do so."
-Peter J. Diggle, Distinguished University
Professor, CHICAS, Lancaster University Medical School, UK
"Baddeley, Rubak, and Turner's book on spatial point patterns is
part of a revolution in statistics, and the reader is buoyantly
swept along with it. From data handling, to exploratory data
analysis, to advanced analytic tools, we are treated to the best in
data science, where open-source software in the R language is used
to integrate science and data through statistical thinking. This is
an excellent book, founded on methodology derived from statistical
models of spatial point patterns, but focusing on the practical
needs of the applied scientist."
-Noel Cressie, Distinguished Professor, National
Institute for Applied Statistics Research Australia, University of
Wollongong
"Spatial Point Patterns: Methodology and Applications with
R is a rich statistical feast. It is by turns humorous,
serious, occasionally rather direct, but never talks down to the
reader, who is taken as having a well-motivated interest in spatial
point patterns. I would argue that applied statisticians not yet
conscious of such an interest will also relish the book's stated
intention of bringing its topical treatments back into mainstream
statistical practice. Being able to try everything out in R,
largely using the spatstat package is a clear advantage; this is
coupled with numerous relevant example data sets. While cherry
picking is possible-the index is more than adequate-all readers are
advised to read at least whole chapters, best complete parts of the
book, because the information to be found there is part of a
tightly woven fabric. Much can be re-read several times with both
profit and pleasure by statisticians and non-statistician
practitioners. Sustaining this level of attention to detail through
a long book is a splendid achievement."
-Roger Bivand, Professor of Geography, Norwegian
School of Economics, and Author and Maintainer of Packages for
Spatial Data Analysis, R Project
"The analysis of spatial point patterns and processes is an
exploding field of applied research across many science and social
science disciplines. This is thanks in no small part to the
development of open-licensed, well-documented, methodologically
sophisticated software implementations. For at least a decade, the
authors of this book have been at the forefront of a statistical
programming revolution. However, with wider academic access to
these point pattern-and-process methods, there has also come a
pressing need for clearer guidance on good practice for applied
researchers at all stages from graduate studies onward. Expressed
in an elegant and accessible style, with substantial references for
those wanting directions into the more specialist literature, as
well as an excellent set of reproducible, multi-disciplinary case
studies, this book provides exactly what is needed. It is highly
likely to become a classic."
-Andrew Bevan, Institute of Archaeology,
University College London
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