4 edition of **Introduction to distance sampling** found in the catalog.

Introduction to distance sampling

- 123 Want to read
- 14 Currently reading

Published
**2001**
by Oxford University Press in Oxford, New York
.

Written in

- Animal populations -- Statistical methods,
- Sampling (Statistics)

**Edition Notes**

Includes bibliographical references (p. [381]-420) and index

Statement | S.T. Buckland ... [et al.] |

Contributions | Buckland, S. T. |

Classifications | |
---|---|

LC Classifications | QL752 .I59 2001 |

The Physical Object | |

Pagination | xv, 432 p. : |

Number of Pages | 432 |

ID Numbers | |

Open Library | OL17029124M |

ISBN 10 | 019850649X, 0198509278 |

LC Control Number | 2001033232 |

This book is pretty comprehensive for being a brief introductory book. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text book provides an effective index, plenty of exercises, review questions, and practice tests. It . Chapter 1 - Introduction. This chapter introduces the basic concepts of distance sampling via lecture. It also offers you the chance to sharpen your distance sampling skills with a pencil-and-paper exercise. You are also introduced to the distance sampling software, Distance, to analyse ducknest data. You should give a thorough read of the preparation for course page, if you have not yet done so.

"Thisnew volume by Dr. Buckland and his colleagues at the University of St. Andrewsserves as both an introduction to distance sampling for people new to the fieldas well as a summary of recent developments. I recommend the book as anexcellent entry into this fascinating area of . Search the world's most comprehensive index of full-text books. My libraryMissing: distance sampling.

Distance sampling is a survey method used to estimate the size and density of wildlife populations. This free course provides an introduction to distance sampling concepts, survey design, field . Moving from plot sampling to distance sampling; estimating proportion detected in covered region using detection function. Introduction to distance sampling - .

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Offers a comprehensive introduction to distance sampling, a statistical method used by many biologists and conservationists to estimate animal abundance.

The text discusses point transect sampling and line transect sampling and also describes several other related by: Introduction to Distance Sampling Estimating Abundance of Biological Populations S. Buckland, D. Anderson, K. Burnham, J. Laake, D. Borchers, and Len Thomas. Offers a comprehensive introduction to distance sampling, a statistical method used by many biologists and conservationists to estimate animal abundance.

About this book Updates the book 'Distance Sampling', which was the first, and until now only book devoted to the topic. The book is aimed at quantitative biologists, wildlife managers, and statisticians involved in wildlife monitoring programmes. This book introduces the suite of techniques known as 'distance sampling', so-called because the common theme is the sampling of distances of objects from a line or point.

The objects are usually 4/5(2). Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying by: Offers a comprehensive introduction to distance sampling, a statistical method used by many biologists and conservationists to estimate animal abundance.

The text discusses point transect sampling and line transect sampling and also describes several other related techniques/5(6). Introduction to Distance Sampling: Estimating Abundance of Biological Populations. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of.

'Introduction to Distance Sampling' updates the book 'Distance Sampling', which was the first, and until now, only book devoted to the topic.

The book is aimed at quantitative biologists and wildlife managers, and statisticians involved in wildlife monitoring programmes.

Of particular significance in this update is the chapter on study Reviews: 2. Distance Sampling: Methods and Applications Abundance estimation is fundamental to wildlife ecology and management, and distance sampling is a major technique used to estimate animal abundance.

Distance sampling has been used at least since the s and this is the third major book on the subject by the lead author. Distance Sampling was first published in by Chapman and Hall, and was subsequently reprinted in by the authors.

It has now been superseded by a new book, Introduction to Distance Sampling, which is available from Oxford University Press. As a service for those not able to purchase copies of the new book, we have archived an electronic copy of the book at this web site.

This book introduces the suite of techniques known as 'distance sampling', so-called because the common theme is the sampling of distances of objects from a line or point. The objects are usually animals or groups of animals ('clusters'), and the primary aim is to estimate their density or abundance in a survey s: 2.

Distance sampling From Wikipedia, the free encyclopedia Distance sampling is a widely used group of closely related methods for estimating the density and/or abundance of populations.

The main methods are based on line transects or point transects. Introduction To Biostatistics Text Book: Basic Concepts and Methodology for •Variable,Population,Sample Text Book: Basic Concepts and Methodology for the Health Sciences 3.

Introduction Some Basic concepts Statistics is a field of study concerned with 1- collection, organization, summarization and is the distance from the lower or.

In the Introduction, It describes distance sampling data and presents a graphical derivation of the distance sampling estimator. The graphical analysis leads to a new expression for the. "This text, an update of the book, Distance Sampling, provides a wide range of statistical methods to estimate the density or abundance of biological populations.

A guide to the use of distance sampling to estimate abundance of. Karner blue butterflies. Ralph Grundel, U.S. Geological Survey, Great Lakes Science Center, Porter, Indiana. This guide is intended to describe the use of distance sampling as a method for evaluating the abundance of Karner blue butterflies at a location.

This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP, ).

Abstract Distance sampling covers a range of methods in which distances of detected objects (usually animals) from a line or point are recorded, from which object density or abundance is estimated.

The most widely used methods are line transect sampling and point transect sampling. Introduction. In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling.

In the decade since the last book published, there have been a number of new developments. Distance sampling is a widely used methodology for estimating animal density or abundance.

Its name derives from the fact that the information used for inference are the recorded distances to objects of interest (usually animals) obtained by surveying lines or points. This book introduces the suite of techniques known as 'distance sampling', so-called because the common theme is the sampling of distances of objects from a line or point.

The objects are usually animals or groups of animals ('clusters'), and the primary aim is .Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website.3.

Brief introduction to distance sampling 7 Assumptions underlying distance sampling 8 Detection of all subjects at zero distance 9 Subjects are detected at their initial location 10 Measurements are exact 11 Other considerations and limitations 14 4.

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