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Introductory concepts. Introduction. Range of applications. Types of data. Known constants and parameters. Assumptions. Fundamental concept. Detection. History of methods. Program DISTANCE. Assumptions and modelling philosophy. Assumptions. Fundamental models. Philosophy and strategy. Robust models. Some analysis guidelines. Statistical theory. General formula. Hazard-rate modelling of the detection process. The key function formulation for distance data. Maximum likelihood methods. Choice of model. Estimation for clustered populations. Density, variance and interval estimation. Stratification and covariates. Line transects. Introduction. Example data. Truncation. Extensions and related work. Other models. Modelling variation in encounter rate and cluster size. Estimation of the probability of detection on the line or pint. On the concept of detection search effort. Fixed versus random sample size. Efficient simulation of distance data. Thoughts about a full likelihood approach. Distance sampling in three dimensions. ...
The first accessible introduction to the many various wildlife assessment methods! This book uses a new approach that makes the full range of methods accessible in a way that has not previously been possible. Accompanied by free, user-friendly software to get some "hands-on" experience with the methods and how they perform in different contexts.
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. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application. 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 detec...
This book is intended for graduate biologists with a quantitative background, who carry out population assessments of wildlife: mammalogists, ornithologists, and fisheries biologists.
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, 2001). In this text, a general theoretical basis is established for methods of estimating animal abundance from sightings surveys, and a wide range of approaches to analysis of sightings data is explored. These approaches include: modelling animal detectability as a function of covariates, where the effects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density a...
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,2001).In this text, a general theoretical basis is established for methods of estimating animal abundance from sightings surveys, and a wide range of approaches to analysis of sightings data is explored. These approaches include: modelling animal detectability as a function of covariates, where theeffects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density as a...
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one can choose a point instead and measure the radial distances of the animals detected. It is very appropriate that the leading exponents in this field have come together to produce an authoritative description on 'how to do it'. They bring with them many years of experience in this research area. This book is a must for all those involved in estimating animal abundance as the methods can be used for such a wide variety of animal species including birds and marine mammals. The methods also apply to clusters of animals such as schools of dolphins and to animal signs. The beauty of such methods lies in the fact that not every animal has to be seen when a population is investigated. At the hea...
"Impossible Dance is a highly accessible, original and engaging account of the complex and often heavily theorized debates around the body, identity and community. Focusing on gay, lesbian and queer club culture in the 1990s New York City, this is the first book to bring together vital issues such as dance culture, queer community, sex culture, HIV identity and politics. Based on four years of field work, the book takes readers on a journey from the streets of New York City into the dance clubs and onto the dance floor. Detailed interviews with club-goers capture their perspectives on how they stage their self-fashioning through dancing. Fiona Buckland argues that such dancing embodies and rehearses a powerful political imagination, laying claim to the space and to one's body as queer."—Publishers Weekly
An authoritative guide to quantitative methods that will help wildlife scientists improve analysis and decision-making. Over the past fifty years, wildlife science has become increasingly quantitative. But to wildlife scientists, many of whom have not been formally trained as biometricians, computer modelers, or mathematicians, the wide array of available techniques for analyzing wildlife populations and habitats can be overwhelming. This practical book aims to help students and professionals alike understand how to use quantitative methods to inform their work in the field. Covering the most widely used contemporary approaches to the analysis of wildlife populations and habitats, Quantitati...