An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology Series)

Book Description

Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The text avoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.

Customer Reviews:

Clear, rigorous, fascinating.......2007-01-20

I'm a Ph.D. student in biophysics. This is the best treatment of systems biology that I've encountered. It treats both the math and the biology with clarity, rigor, and respect. It simplifies without dumbing down. It's beautifully written. If you doubt that systems biology is a real scientific discipline, this book will change your mind.

Building Mathematical Models of Cells.......2006-09-25

The history of science over the past few centuries is to become ever more specialized. The physicists, becomming ever more concerned with the very large (stars, galaxies, the cosmos) or the very tiny (first atoms, then atomic components, now sub-components. The biologists on the other hand were studying much larger things, such as the cells that make up life. Both sciences developed techniques to facilitate their study.

In recent years, researchers have discovered that sometimes these specialized techniques can be used to develop greater insight into what is happening in other sciences.

In this book, Dr. Alon uses his training in physics to examine certain aspects of biology and to use the terminology and mathematics to describe the way these biological networks work.

The goal of the book is to begin the formulation of general laws that apply to biological networks. This is done by providing a mathematical framework in which some of the design principles of biological systems can help to understand biological networks. In looking at the results, an underlying simplicity not seen before appears in biological systems.

Great Job.......2006-09-09

A superb intro to the field. The math is moderate and helpful. Network concepts and their ties to examples and theory are clearly and succinctly presented. This is a textbook but reads easily like a book. Covers key elements while connecting them by at least mention to up-to-date further research. The basics and the grandeur of systems biology. I am trying to remember now anything on the negative side and cannot.

Evolutionary Dynamics: Exploring the Equations of Life

Average customer rating:

An engrossing read - highly recommended
Excellent and Approachable Survey
The Marriage of Mathematics and Evolution
A dazzling book
wonderful life

Evolutionary Dynamics: Exploring the Equations of Life
Martin A. Nowak
Manufacturer: Belknap Press
ProductGroup: Book
Binding: Hardcover

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An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology Series)
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
Dynamic Models in Biology
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)

ASIN: 0674023382

Book Description

At a time of unprecedented expansion in the life sciences, evolution is the one theory that transcends all of biology. Any observation of a living system must ultimately be interpreted in the context of its evolution. Evolutionary change is the consequence of mutation and natural selection, which are two concepts that can be described by mathematical equations.Evolutionary Dynamics is concerned with these equations of life. In this book, Martin Nowak draws on the languages of biology and mathematics to outline the mathematical principles according to which life evolves. His work introduces readers to the powerful yet simple laws that govern the evolution of living systems, no matter how complicated they might seem.

Evolution has become a mathematical theory, Nowak suggests, and any idea of an evolutionary process or mechanism should be studied in the context of the mathematical equations of evolutionary dynamics. His book presents a range of analytical tools that can be used to this end: fitness landscapes, mutation matrices, genomic sequence space, random drift, quasispecies, replicators, the Prisoner's Dilemma, games in finite and infinite populations, evolutionary graph theory, games on grids, evolutionary kaleidoscopes, fractals, and spatial chaos. Nowak then shows how evolutionary dynamics applies to critical real-world problems, including the progression of viral diseases such as AIDS, the virulence of infectious agents, the unpredictable mutations that lead to cancer, the evolution of altruism, and even the evolution of human language. His book makes a clear and compelling case for understanding every living system--and everything that arises as a consequence of living systems--in terms of evolutionary dynamics.

Customer Reviews:

An engrossing read - highly recommended.......2007-09-05

This is a wonderful book by a master of the field. Prof. Nowak, who teaches at Harvard, has managed a minor miracle: writing a book on mathematical biology that is mathematically rigorous and extremely readable at the same time.

The book is divided into two broad sections. The first nine chapters explore various abstract models of evolution. Simple models of evolution do not demonstrate cooperation between individuals, while examples of it abound in the real world. This fact quite rightly fascinates the author and informs his presentation. The last four chapters of the book use some of the modeling techniques developed in previous chapters to study real-world systems, such as HIV infection and cancer.

This book is highly recommended for anyone interested in the mathematical aspects of biology. More broadly, it will be of interest to anyone who's interested in mathematical models of complex systems.

Excellent and Approachable Survey.......2007-05-23

This book is an accessible introduction to the mathematics of evolution and results in the field of evolutionary dynamics with a heavy emphasis on applications including the immune system, virulence, AIDS, and even the evolution of language. Many of the ideas are from fairly recent papers and results in mathematical biology, particularly the sections regarding the evolution of universal grammar and in the emerging field of evolutionary graph theory, which adds population structure to the mathematical analysis. (This is a now necessary generalization of evolutionary game theory, which assumes uniform population structure.) As noted above, this is the first book to present many of these ideas outside of scientific and mathematical journals.

Although the mathematical content is significant, Nowak diligently explains the implications of the mathematics in the text of the book, widening the potential audience of the book dramatically. Simply put, this book is filled with delicious evolutionary content, backed up with mathematical rigor for the interested reader, but you need not have a degree in mathematics in order to understand much of the material.

Highly recommended for those truly interested in evolution.

The Marriage of Mathematics and Evolution.......2007-01-10

Excellent book for the mathematically and evolutionarily minded. However, not for general reading unless you are doing graduate work in either mathematics or evolutionary biology. Just excellent survey.

A dazzling book.......2006-11-22

This is, quite simply, a dazzling book. Nowak manages to take very deep mathematical ideas that are on the cutting edge of science and make them fun and pretty rigorous at the same time. The review in Nature said "It should be on the shelf of anyone who has, or thinks they might have, an interest in theoretical biology" and I completely agree. The section on HIV, explaining mathematically why there is a long delay between infection and the disease, and how this proposal in 1990 correctly predicted several biolgical facts which were subseqently discovered (but not mentioning execpt in the notes, that this was his work) is truly exceptional. We are moving beyond the "Just So stories" phase of evolution (such as wooly rhetoric about "Selfish Genes") to real, mathematically rigorous, science.

wonderful life.......2006-10-13

This is a remarkable book, absolutely original, containing a lot of material which has never before appeared in book form. It is written in a very accessible style, and leads almost effortlessly from first principles to state-of-the-art research.

The book takes an eagle's view on evolution, covering an vast range of topics from molecules to man. It emphasises analytical methods and presents a large canvas of superbly elegant mathematical models.

The author has chosen a very personal, highly idiosyncratic sample of subjects of amazing diversity, basically because he feels excited about them: and this excitement shows through, and makes the book very engaging, a positively bracing experience. On all of the topics, the author has contributed substantially, and the feel to get it `straight from the horse's mouth' is one of the great assets of the book. I believe that it will be a splendid hit with students, and regret that I did not have anything like that when I was young.

The style of the book is lucid and vigorous, with short, clear sentences, occasionally in staccato style. The mathematics is reduced to the bare minimum. It is incredible how much mileage the author can get out of it. The illustrations play an important role, and are well devised.

The chapters are short, and they address an amazing array of topics, ranging from molecular evolution to evolutionary games, from HIV to cancer, and from cooperation to language. In spite of their different subjects, they are homogenous: first comes a breezy introduction to the biological (or chemical, or linguistic) facts, then a simple model, then an analysis, without heavy machinery, usually leading up to some remarkable results which could not be obtained without mathematics, then a summary in a few short statements and finally an extensive list of references, including both the classics and the very newest results in the field. The fact that in each case, a few pages suffice to start from scratch and lead to the cutting edge of present-day research is quite remarkable.

The book will certainly have a big impact, and raise a lot of follow-up work. There is hardly a better recipe for young PhDs than to pick one of the chapters and start doing their own research. But in addition, `the whole is more than the sum of its parts'. I usually hate this slogan but here it holds in a spectacular way. By simply putting together the different applications of simple models in so spectacularly diverse fields, Nowak's book promotes a radical `hands-on'-approach to evolution which, I am sure, will have seminal repercussions.

Analysis and Management of Animal Populations

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Didn't have book, Issued VERY fast refund
Good reference book

Analysis and Management of Animal Populations
Byron K. Williams , James D. Nichols , and Michael J. Conroy
Manufacturer: Academic Press
ProductGroup: Book
Binding: Hardcover

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Handbook of Capture-Recapture Analysis
Model Selection and Multi-Model Inference
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
Sampling Rare or Elusive Species: Concepts, Designs, and Techniques for Estimating Population Parameters
Wildlife Demography : Analysis of Sex, Age, and Count Data

ASIN: 0127544062

Book Description

Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations.

Key Features
*Integrates population modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework
* Provides authoritative, state-of-the-art descriptions of quantitative approaches to modeling, estimation and decision-making
* Emphasizes the role of mathematical modeling in the conduct of science and management
* Utilizes a unifying biological context, consistent mathematical notation, and numerous biological examples

Customer Reviews:

Didn't have book, Issued VERY fast refund.......2005-09-23

They didn't have the book even though it was posted. However they issued a very promt refund without any problems.

Good reference book.......2003-04-03

This book provides a good summary of methods and techniques that are available for wildlife studies. It is a good starting point for graduate students and researchers who would like to get a broad overview, but for more details on particular types of analysis, other resources are needed. For someone who has never been exposed to population biology, the expansive breadth of the book may be somewhat overwhelming.

Model Selection and Multi-Model Inference

Average customer rating:

Model Selection and Multi-Model Inference
Good, but far too prolix
One of the best introduction to AIC (Akaike's Information Criterion)!!!
authoritative and thorough treatment

Model Selection and Multi-Model Inference
Kenneth P. Burnham , and David Anderson
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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A Primer Of Ecological Statistics
The Ecological Detective
Handbook of Capture-Recapture Analysis
Analysis and Management of Animal Populations
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

Accessories:

Linking Restoration and Ecological Succession (Springer Series on Environmental Management)
Stable Isotope Ecology

ASIN: 0387953647

Book Description

The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference). A philosophy is presented for model-based data analysis and a general strategy outlined for the analysis of empirical data. The book invites increased attention on a priori science hypotheses and modeling. Kullback-Leibler Information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection. The maximized log-likelihood function can be bias-corrected as an estimator of expected, relative Kullback-Leibler information. This leads to Akaike's Information Criterion (AIC) and various extensions. These methods are relatively simple and easy to use in practice, but based on deep statistical theory. The information theoretic approaches provide a unified and rigorous theory, an extension of likelihood theory, an important application of information theory, and are objective and practical to employ across a very wide class of empirical problems. The book presents several new ways to incorporate model selection uncertainty into parameter estimates and estimates of precision. An array of challenging examples is given to illustrate various technical issues. This is an applied book written primarily for biologists and statisticians wanting to make inferences from multiple models and is suitable as a graduate text or as a reference for professional analysts.

Customer Reviews:

Model Selection and Multi-Model Inference .......2007-03-09

Those interested in mark-recapture models definitely should have this extraordinary book.
Very complete and easy to read

Good, but far too prolix.......2005-08-24

I admire this book very much for its accessible treatment of AIC, but if were reduced in length by half, it would be twice as good. The authors cannot resist repeating themselves, usually several times, especially when giving advice of the "motherhood and apple pie" variety. Another annoying feature is that many references are given for philosophical points, yet sometimes when a useful result is given without proof, no reference is provided. For example, on page 12 an expression for maximized likelihood is given without a derivation or a reference. Inside this fat book there is a thin book crying to be let out.

One of the best introduction to AIC (Akaike's Information Criterion)!!!.......2005-08-18

AIC is one of the widely known methods in model selection and inference.
This book includes not only a basic use but also advanced issues of the information-theoretic approach.
Using this book, you will learn the application of AIC soon!

authoritative and thorough treatment.......2000-12-18

Burnham and Anderson have put together a scholarly account of the developments in model selection techniques from the information theoretic viewpoint. This is an important practical subject. As computer algorithms become more and more available for fitting models and data mining and exploratory analysis become more popular and used more by novices, problems with overfitting models will again raise their ugly heads. This has been an issue for statisticians for decades. But the problems and the art of model selection has not been commonly covered in elementary courses on statistics and regression. George Box puts proper emphasis on the iterative nature of model selection and the importance of applying the principle of parismony in many of his books. Classic texts on regression like Draper and Smith point out the pitfalls of goodness of ift measures like R-square and explain Mallows Cp and adjusted R-square. There are now also a few good books devoted to model selection including the book by McQuarrie and Tsai (that I recently reviewed for Amazon) and the Chapman and Hall monograph by A. J. Miller.

Burnham and Anderson address all these issues and provide the best coverage to date on bootstrap and cross-validation approaches. They also are careful in their historical account and in putting together some coherence to the scattered literature. They are thorough in their references to the literature. Their theme is the information theoretic measures based on the Kullback-Liebler distance measure. The breakthrough in this theory came from Akaike in the 1970s and improvements and refinement came later. The authors provide the theory, but more importantly, they provide many real examples to illustrate the problems and show how the methods work.

They also refer to the recent work in Bayesian methods. Chapter 1 is a great introduction that everyone should read. Being a fan of the bootstrap I was interested in their coverage of it in chapters 4, 5 and 6 (much of which is the authors' own work).

Because the authors work in biological fields they cover survival models as well as the standard time series and regression models where most of the emphasis has been placed on model selection in the past.

Book Description

Beverly A. Teicher and a panel of leading experts comprehensively describe for the first time in many years the state-of-the-art in animal tumor model research. The wide array of models detailed form the basis for the selection of compounds and treatments that go into clinical testing of patients, and include syngeneic models, human tumor xenograft models, orthotopic models, metastatic models, transgenic models, and gene knockout models. Synthesizing many years experience with all the major in vivo models currently available for the study of malignant disease, Tumor Models in Cancer Research provides preclinical and clinical cancer researchers alike with a comprehensive guide to the selection of these models, their effective use, and the optimal interpretation of their results.

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Amazon purchase review
Excelent book
Great book for beginners and advanced.
Easily one of the best on the topic
Easy to understand, but simplifies a little too much

A Primer of Ecology
Nicholas J. Gotelli
Manufacturer: Sinauer Associates
ProductGroup: Book
Binding: Paperback

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A Primer Of Ecological Statistics
Foundations of Ecology: Classic Papers with Commentaries
Ecology: From Individuals to Ecosystems
How to Do Ecology: A Concise Handbook
Community Ecology

ASIN: 0878932739

Book Description

A Primer of Ecology, Third Edition, presents a concise but detailed exposition of the most common mathematical models in population and community ecology. It is intended to demystify ecological models and the mathematics behind them by deriving the models from first principles. The book may be used as a self-teaching tutorial by students, as a primary textbook, or as a supplemental text to a general ecology textbook.

The Primer explains in detail basic concepts of exponential and logistic population growth, age-structured demography, metapopulation dynamics, competition, predation, island biogeography, and, in a chapter new to this edition, succession. Each chapter is carefully graded from simple material that is appropriate for beginning undergraduates to advanced material, which is suited for upper-division undergraduates and beginning graduate students. Advanced topics include environmental and demographic stochasticity, discrete population growth and chaos, stage-structured demography, intraguild predation, nonlinear predator-prey isoclines, and passive sampling. Each chapter follows the same structure: model presentation and predictions, model assumptions, model variations, empirical examples, and problems.

Essential equations are highlighted for students' use. Intermediate algebraic "expressions" are also illustrated so that students see where the equations came from. New terms are introduced in the text in boldface type to alert students to novel concepts. The Primer contains more mathematical detail than many ecology textbooks, but avoids jargon and mathematical terminology that can intimidate students. Both simple and advanced problems are included, followed by fully worked solutions so that students can gain confidence and a better understanding of the models. Citations are kept to a minimum.

Customer Reviews:

Amazon purchase review.......2005-10-25

The book I ordered was in perfect condition and I received it very quickly!! I've always had excellent service from Amazon.com!

Excelent book.......2005-10-12

This book is an excelent work on population biology, it includes the basic elements to study the dynamics of population in nature, I recomend it.

Great book for beginners and advanced........2005-09-24

Gotelli has done a great job with this book. He explains most things concisely as well as thoroughly. He not only mentions the concepts, but the people and events leading to the discovery of those concepts. This can be a rare thing in textbooks. The only complaint I have is that he doesn't always explain the derivations of his equations, he just wants us to trust him on them. Other than that, a great book on Ecology for its size.

Easily one of the best on the topic.......2003-06-23

Four and one half stars.

Dr. Gotelli's book is the most successful which I am familiar at "demystifying" the mathematical concepts in ecology. "A primer of ecology" is very well organized and written so as not to frighten off the uninitiated, but covers the mathematics well enough to be an adequate refresher for those that have slipped in some areas. The inclusion of ecological succession in the 3rd edition is an important addition and not merely a reason to put out a new version. I highly recommend this text to anyone who is interested in learning about ecological study, and I think it would make an excellent senior undergraduate or supplemental graduate text.

Easy to understand, but simplifies a little too much.......2002-05-11

I found this book was a really good introduction to the subject - really clearly explained and laid out, unlike some other books I have read, which start of simple and then suddenly leap off into degree-level maths! However, it does tend to simplify a little bit (would have liked a little more information on the types of discrete and continous logistics that can be used).

Book Description

Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. Connections are made between diverse biological examples linked by common mathematical themes, exploring a variety of discrete and continuous ordinary and partial differential equation models. Although great advances have taken place in many of the topics covered, the simple lessons contained in Mathematical Models in Biology are still important and informative. Shortly after the first publication of Mathematical Models in Biology, the genomics revolution turned Mathematical Biology into a prominent area of interdisciplinary research. In this new millennium, biologists have discovered that mathematics is not only useful, but indispensable! As a result, there has been much resurgent interest in, and a huge expansion of, the fields collectively called mathematical biology. This book serves as a basic introduction to concepts in deterministic biological modeling.

Customer Reviews:

An excellent book.......2004-05-27

This is one of the best books I have read in Math. biology. I strongly propose that a second updated paperback edition is done so that many students will benefit from it.

An excellent book for teaching.......2002-12-11

This is an excellent book for teaching. However due to the rapid progress in the field I hope that the auther will consider a new and enlarged version of the book. Also a paperback edition will be helpful especially for thos in third world countries.
I thank the auther for this book.

The very BEST book on the subject.......1999-04-26

There are lots of books about mathematical modeling, and many of them cover biological systems. But no book I've ever seen even comes close to the quality of this beautiful work by Edelstein-Keshet. So what is it that makes this book so special? First of all, the book is both accessible and self-contained. Just start at the beginning, and you're guaranteed to learn A LOT of math. Second, the style of writing and the way in which the author presents the material is utterly beautiful. It is impossible NOT to understand, but the material is not at all 'chewed out' for the reader. Third of all, the book really encourages the reader to pick up pen and paper, go out there and MODEL something; dozens of inspiring and high-quality exercises and research projects are to be found throughout the book. Fourth, the various techniques are easily applied to non-biological problems. Fifth, the book will help to gain insight in the qualitative aspects of biological phenomena. What Peter Atkins is to chemistry, Edelstein-Keshet is to mathematical biology. Sadly, she is not as widely known. Get this book while you can!

System Modeling in Cellular Biology: From Concepts to Nuts and Bolts

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System Modeling in Cellular Biology: From Concepts to Nuts and Bolts

Manufacturer: The MIT Press
ProductGroup: Book
Binding: Hardcover

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Similar Items:

An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology Series)
Systems Biology: Properties of Reconstructed Networks
Stochastic Modelling for Systems Biology (Mathematical and Computational Biology)
Systems Biology in Practice: Concepts, Implementation and Application
The Regulatory Genome: Gene Regulatory Networks In Development And Evolution

ASIN: 0262195488

Book Description

Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.

The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

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A Biologist's Guide to Mathematical Modeling in Ecology and Evolution
Sarah P. Otto , and Troy Day
Manufacturer: Princeton University Press
ProductGroup: Book
Binding: Hardcover

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Evolutionary Dynamics: Exploring the Equations of Life
The Origins of Genome Architecture
Individual-based Modeling and Ecology (Princeton Series in Theoretical and Computational Biology)
The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and Evolutionary Biology
Evolutionary Theory

ASIN: 0691123446

Book Description

Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own.

The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction.

Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists.

A how-to guide for developing new mathematical models in biology
Provides step-by-step recipes for constructing and analyzing models
Interesting biological applications
Explores classical models in ecology and evolution
Questions at the end of every chapter
Primers cover important mathematical topics
Exercises with answers
Appendixes summarize useful rules
Labs and advanced material available

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

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Great book for understanding site occupancy modeling

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
Darryl I. MacKenzie , James D. Nichols , J. Andrew Royle , Kenneth H. Pollock , Larissa L. Bailey , and James E. Hines
Manufacturer: Academic Press
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Sampling Rare or Elusive Species: Concepts, Designs, and Techniques for Estimating Population Parameters
Handbook of Capture-Recapture Analysis
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Spatial Analysis: A Guide for Ecologists

ASIN: 0120887665

Book Description

Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.

* Provides authoritative insights into the latest in estimation modeling
* Discusses multiple models which lay the groundwork for future study designs
* Addresses critical issues of imperfect detectibility and its effects on estimation
* Explores the role of probability in estimating in detail

Customer Reviews:

Great book for understanding site occupancy modeling.......2006-03-10

I think this is a pretty good book. It is the only reference on this relatively new type of patch occupancy modeling. It is mainly focused on the models of MacKenzie et al. and the Royle and Nichols model. This is a great place to start if you know nothing about this method or a good reference for advanced users.
This book does not fill the need of an introductory "how-to" book. If you want to know how to set up models and run them in program PRESENCE or MARK you will need to wait. Such a book does not exist. This is not a cookbook, but a compilation of the theory and an explanantion of the methodology behind occupancy estimation.

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